The University of Queensland

Mining Significant Pre-Diabetes Features of Diabetes Mellitus: A Case Study of Noakhali, Bangladesh

Satu, Md. Shahriare, Howlader, Koushik Chandra, Barua, Avijit and Moni, Mohammad Ali (2023). Mining Significant Pre-Diabetes Features of Diabetes Mellitus: A Case Study of Noakhali, Bangladesh. Applied Informatics for Industry 4.0. (pp. 280-292) Boca Raton: Chapman and Hall/CRC. doi: 10.1201/9781003256069-23

Methods for the analysis of micro-pollutants

Ahmed, M. B., Johir, M. A.H., Ngo, Huu Hao, Guo, Wenshan, Zhou, J. L., Belhaj, D. and Moni, M. A. (2020). Methods for the analysis of micro-pollutants. Current Developments in Biotechnology and Bioengineering: Emerging Organic Micro-pollutants. (pp. 63-86) Elsevier. doi: 10.1016/B978-0-12-819594-9.00004-8

A computational approach to design a polyvalent vaccine against human respiratory syncytial virus

Moin, Abu Tayab, Ullah, Md. Asad, Patil, Rajesh B., Faruqui, Nairita Ahsan, Araf, Yusha, Das, Sowmen, Uddin, Khaza Md. Kapil, Hossain, Md. Shakhawat, Miah, Md. Faruque, Moni, Mohammad Ali, Chowdhury, Dil Umme Salma and Islam, Saiful (2023). A computational approach to design a polyvalent vaccine against human respiratory syncytial virus. Scientific Reports, 13 (1) 9702. doi: 10.1038/s41598-023-35309-y

Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model

Asadi, Shirin, Tartibian, Bakhtyar and Moni, Mohammad Ali (2023). Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model. Scientific Reports, 13 (1) 8207, 1-10. doi: 10.1038/s41598-023-34974-3

Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches

Ahmed, Fee Faysal, Das, Arnob Dip, Sumi, Mst. Joynab, Islam, Md. Zohurul, Rahman, Md. Shahedur, Rashid, Md. Harun, Alyami, Salem A., Alotaibi, Naif, Azad, A. K.M. and Moni, Mohammad Ali (2023). Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches. Scientific Reports, 13 (1) 19072. doi: 10.1038/s41598-023-46455-8

Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities

Nayan, Saidul Islam, Rahman, Md Habibur, Hasan, Md. Mehedi, Raj, Sheikh Md. Razibul Hasan, Almoyad, Mohammad Ali Abdullah, Liò, Pietro and Moni, Mohammad Ali (2023). Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities. Life Sciences, 335 122244, 122244. doi: 10.1016/j.lfs.2023.122244

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

Talukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md. Ashraf, Akhter, Arnisha, Pramanik, Md. Alamgir Jalil, Aryal, Sunil, Almoyad, Muhammad Ali Abdulllah, Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Expert Systems with Applications, 230 120534, 120534. doi: 10.1016/j.eswa.2023.120534

A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients

Ali, Md. Mamun, Al-Doori, Vian S., Mirzah, Nubogh, Hemu, Asifa Afsari, Mahmud, Imran, Azam, Sami, Al-tabatabaie, Kusay Faisal, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2023). A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients. Healthcare Analytics, 3 100182, 1-12. doi: 10.1016/j.health.2023.100182

Development and performance analysis of machine learning methods for predicting depression among menopausal women

Ali, Md. Mamun, Algashamy, Hussein Ali A., Alzidi, Enas, Ahmed, Kawsar, Bui, Francis M., Patel, Shobhit K., Azam, Sami, Abdulrazak, Lway Faisal and Moni, Mohammad Ali (2023). Development and performance analysis of machine learning methods for predicting depression among menopausal women. Healthcare Analytics, 3 100202. doi: 10.1016/j.health.2023.100202

Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Gill, Tiffany K, Mittinty, Manasi Murthy, March, Lyn M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Woolf, Anthony D, Haile, Lydia M, Hagins, Hailey, Ong, Kanyin Liane, Kopansky-Giles, Deborah R, Dreinhoefer, Karsten E, Betteridge, Neil, Abbasian, Mohammadreza, Abbasifard, Mitra, Abedi, krishna, Adesina, Miracle Ayomikun, Aithala, Janardhana P, Akbarzadeh-Khiavi, Mostafa, Al Thaher, Yazan, Alalwan, Tariq A, Alzahrani, Hosam, Amiri, Sohrab, Antony, Benny, Arabloo, Jalal, Aravkin, Aleksandr Y, Arumugam, Ashokan, Aryal, Krishna K ... Brooks, Peter M (2023). Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Rheumatology, 5 (11), e670-e682. doi: 10.1016/S2665-9913(23)00232-1

Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Safdarian, Mahdi, Trinka, Eugen, Rahimi-Movaghar, Vafa, Thomschewski, Aljoscha, Aali, Amirali, Abady, Gdiom Gebreheat, Abate, Semagn Mekonnen, Abd-Allah, Foad, Abedi, Aidin, Adane, Denberu Eshetie, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Haroon, Amanat, Nasir, Angappan, Dhanalakshmi, Arabloo, Jalal, Aryannejad, Armin, Athari, Seyyed Shamsadin, Atreya, Alok, Azadnajafabad, Sina, Azzam, Ahmed Y, Babamohamadi, Hassan, Banik, Palash Chandra, Bardhan, Mainak, Bashiri, Azadeh, Berhie, Alemshet Yirga, Bhat, Ajay Nagesh, Brown, Julie ... Zhang, Zhi-Jiang (2023). Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 22 (11), 1026-1047. doi: 10.1016/S1474-4422(23)00287-9

Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021

Moberg, Madeline E, Hamilton, Erin B, Zeng, Scott M, Bryazka, Dana, Zhao, Jeff T, Feldman, Rachel, Abate, Yohannes Habtegiorgis, Abbasi-Kangevari, Mohsen, Abdurehman, Ame Mehadi, Abedi, Aidin, Abu-Gharbieh, Eman, Addo, Isaac Yeboah, Adepoju, Abiola Victor, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Danial, Ahmed, Haroon, Alem, Dejene Tsegaye, Al-Gheethi, Adel Ali Saeed, Alimohamadi, Yousef, Ameyaw, Edward Kwabena, Amrollahi-Sharifabadi, Mohammad, Anagaw, Tadele Fentabil, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Athari, Seyyed Shamsadin ... Ong, Kanyin Liane (2023). Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021. The Lancet Public Health, 8 (11), e839-e849. doi: 10.1016/S2468-2667(23)00185-8

FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI

Hasan, Md Mahmodul, Hossain, Muhammad Minoar, Rahman, Mohammad Motiur, Azad, AKM, Alyami, Salem A. and Moni, Mohammad Ali (2023). FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI. Computers in Biology and Medicine, 165 107407, 107407. doi: 10.1016/j.compbiomed.2023.107407

Global burden of peripheral artery disease and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Kim, Min Seo, Hwang, Jimin, Yon, Dong Keon, Lee, Seung Won, Jung, Se Yong, Park, Seoyeon, Johnson, Catherine Owens, Stark, Benjamin A, Razo, Christian, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abhari, Amir Parsa, Aboyans, Victor, Adane, Denberu Eshetie Adane, Adebayo, Oladimeji M, Alahdab, Fares, Almustanyir, Sami, Aly, Hany, Ameyaw, Edward Kwabena, Anderson, Jason A, Andrei, Catalina Liliana, Aryan, Zahra, Aujayeb, Avinash, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bayileyegn, Nebiyou Simegnew, Bearne, Lindsay M, Behnoush, Amir Hossein ... Roth, Gregory A (2023). Global burden of peripheral artery disease and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Global Health, 11 (10), e1553-e1565. doi: 10.1016/S2214-109X(23)00355-8

Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019

GBD 2019 IMID Collaborators, Moni, Mohammad Ali, Moniruzzaman, Md and Pak, Anton (2023). Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019. EClinicalMedicine, 64 102193, 102193. doi: 10.1016/j.eclinm.2023.102193

Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

Akter, Atika, Nosheen, Nazeela, Ahmed, Sabbir, Hossain, Mariom, Yousuf, Mohammad Abu, Almoyad, Mohammad Ali Abdullah, Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor. Expert Systems with Applications, 238 122347, 122347. doi: 10.1016/j.eswa.2023.122347

Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data

Khatun, Rabea, Akter, Maksuda, Islam, Md. Manowarul, Uddin, Md. Ashraf, Talukder, Md. Alamin, Kamruzzaman, Joarder, Azad, AKM, Paul, Bikash Kumar, Almoyad, Muhammad Ali Abdulllah, Aryal, Sunil and Moni, Mohammad Ali (2023). Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data. Genes, 14 (9) 1802, 1802. doi: 10.3390/genes14091802

A robust and clinically applicable deep learning model for early detection of Alzheimer's

Rana, Md Masud, Islam, Md Manowarul, Talukder, Md. Alamin, Uddin, Md Ashraf, Aryal, Sunil, Alotaibi, Naif, Alyami, Salem A., Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). A robust and clinically applicable deep learning model for early detection of Alzheimer's. IET Image Processing. doi: 10.1049/ipr2.12910

Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival

Islam, Md. Monirul, Kashem, Mohammod Abul, Alyami, Salem A. and Moni, Mohammad Ali (2023). Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival. Microprocessors and Microsystems, 102 104930, 104930. doi: 10.1016/j.micpro.2023.104930

StackFBAs: detection of fetal brain abnormalities using CNN with stacking strategy from MRI images

Chowdhury, Anjir Ahmed, Hasan Mahmud, S.M., Shahjalal Hoque, Khadija Kubra, Ahmed, Kawsar, Bui, Francis M., Lio, Pietro, Moni, Mohammad Ali and Al-Zahrani, Fahad Ahmed (2023). StackFBAs: detection of fetal brain abnormalities using CNN with stacking strategy from MRI images. Journal of King Saud University - Computer and Information Sciences, 35 (8) 101647, 101647. doi: 10.1016/j.jksuci.2023.101647

SafetyMed: A novel IoMT intrusion detection system using CNN-LSTM hybridization

Faruqui, Nuruzzaman, Yousuf, Mohammad Abu, Whaiduzzaman, Md, Azad, AKM, Alyami, Salem A., Liò, Pietro, Kabir, Muhammad Ashad and Moni, Mohammad Ali (2023). SafetyMed: A novel IoMT intrusion detection system using CNN-LSTM hybridization. Electronics, 12 (17) 3541, 3541. doi: 10.3390/electronics12173541

Systems biology approach discovers comorbidity interaction of Parkinson's disease with psychiatric disorders utilizing brain transcriptome

Nashiry, Md Asif, Sumi, Shauli Sarmin, Alyami, Salem A. and Moni, Mohammad Ali (2023). Systems biology approach discovers comorbidity interaction of Parkinson's disease with psychiatric disorders utilizing brain transcriptome. Frontiers in Molecular Neuroscience, 16 1232805. doi: 10.3389/fnmol.2023.1232805

Global, regional, and national burden of meningitis and its aetiologies, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Wunrow, Han Yong, Bender, Rose G, Vongpradith, Avina, Sirota, Sarah Brooke, Swetschinski, Lucien R, Novotney, Amanda, Gray, Authia P, Ikuta, Kevin S, Sharara, Fablina, Wool, Eve E, Aali, Amirali, Abd-Elsalam, Sherief, Abdollahi, Ashkan, Abdul Aziz, Jeza Muhamad, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Abu-Gharbieh, Eman, Adamu, Lawan Hassan, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adekiya, Tayo Alex, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Aghamiri, Shahin, Aghdam, Zahra Babaei, Agodi, Antonella ... Kyu, Hmwe Hmwe (2023). Global, regional, and national burden of meningitis and its aetiologies, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 22 (8), 685-711. doi: 10.1016/S1474-4422(23)00195-3

Integrated bioinformatics and statistical approach to identify the cmmon mlecular mchanisms of oesity that are linked to the development of two psychiatric disorders: Schizophrenia and major depressive disorder

Islam, Md Khairul, Islam, Md Rakibul, Rahman, Md Habibur, Islam, Md Zahidul, Hasan, Md Mehedi, Mamun, Md Mainul Islam and Moni, Mohammad Ali (2023). Integrated bioinformatics and statistical approach to identify the cmmon mlecular mchanisms of oesity that are linked to the development of two psychiatric disorders: Schizophrenia and major depressive disorder. PLOS ONE, 18 (7) e0276820, e0276820. doi: 10.1371/journal.pone.0276820

A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: experiences from Bangladesh

Uddin, Md. Jamal, Ahamad, Md. Martuza, Hoque, Md. Nesarul, Walid, Md. Abul Ala, Aktar, Sakifa, Alotaibi, Naif, Alyami, Salem A., Kabir, Muhammad Ashad and Moni, Mohammad Ali (2023). A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: experiences from Bangladesh. Information, 14 (7) 376. doi: 10.3390/info14070376

An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis

Bristy, Sadia Afrin, Hossain, Md Arju, Hasan, Md Imran, Mahmud, S M Hasan, Moni, Mohammad Ali and Rahman, Md Habibur (2023). An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis. Briefings in Functional Genomics, 22 (4), 375-391. doi: 10.1093/bfgp/elad005

Ensemble learning for disease prediction: a review

Mahajan, Palak, Uddin, Shahadat, Hajati, Farshid and Moni, Mohammad Ali (2023). Ensemble learning for disease prediction: a review. Healthcare, 11 (12) 1808. doi: 10.3390/healthcare11121808

A novel hybrid approach for classifying osteosarcoma using deep feature extraction and multilayer perceptron

Aziz, Md. Tarek, Mahmud, S. M. Hasan, Elahe, Md. Fazla, Jahan, Hosney, Rahman, Md Habibur, Nandi, Dip, Smirani, Lassaad K., Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2023). A novel hybrid approach for classifying osteosarcoma using deep feature extraction and multilayer perceptron. Diagnostics, 13 (12) 2106. doi: 10.3390/diagnostics13122106

Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Ferreira, Manuela L, de Luca, Katie, Haile, Lydia M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Ferreira, Paulo H, Blyth, Fiona M, Buchbinder, Rachelle, Hartvigsen, Jan, Wu, Ai-Min, Safiri, Saeid, Woolf, Anthony D, Collins, Gary S, Ong, Kanyin Liane, Vollset, Stein Emil, Smith, Amanda E, Cruz, Jessica A, Fukutaki, Kai Glenn, Abate, Semagn Mekonnen, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelalim, Ahmed, Abedi, Aidin, Abidi, Hassan, Adnani, Qorinah Estiningtyas Sakilah, Ahmadi, Ali ... March, Lyn M (2023). Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Rheumatology, 5 (6), e316-e329. doi: 10.1016/s2665-9913(23)00098-x

The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells

Hossain, Md. Ali, Asa, Tania Akter, Auwul, Md. Rabiul, Aktaruzzaman, Md., Rahman, Md. Mahfizur and Moni, Mohammad Ali (2023). The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells. Computers in Biology and Medicine, 159 106885, 1-8. doi: 10.1016/j.compbiomed.2023.106885

Machine learning-based model to predict heart disease in early stage employing different feature selection techniques

Biswas, Niloy, Ali, Md Mamun, Rahaman, Md Abdur, Islam, Minhajul, Mia, Md. Rajib, Azam, Sami, Ahmed, Kawsar, Bui, Francis M., Al-Zahrani, Fahad Ahmed and Moni, Mohammad Ali (2023). Machine learning-based model to predict heart disease in early stage employing different feature selection techniques. BioMed Research International, 2023 6864343, 1-15. doi: 10.1155/2023/6864343

HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

Islam, Md Shofiqul, Hasan, Khondokar Fida, Sultana, Sunjida, Uddin, Shahadat, Lio’, Pietro, Quinn, Julian M.W. and Moni, Mohammad Ali (2023). HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks, 162, 271-287. doi: 10.1016/j.neunet.2023.03.004

Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke

Islam, Tania, Rahman, Md Rezanur, Khan, Asaduzzaman and Moni, Mohammad Ali (2023). Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke. Journal of Biomedical Informatics, 141 104345, 1-13. doi: 10.1016/j.jbi.2023.104345

An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder

Uddin, Md. Jamal, Ahamad, Md. Martuza, Sarker, Prodip Kumar, Aktar, Sakifa, Alotaibi, Naif, Alyami, Salem A., Kabir, Muhammad Ashad and Moni, Mohammad Ali (2023). An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder. Computers, 12 (5) 92, 1-19. doi: 10.3390/computers12050092

GRU-INC: an inception-attention based approach using GRU for human activity recognition

Mim, Taima Rahman, Amatullah, Maliha, Afreen, Sadia, Yousuf, Mohammad Abu, Uddin, Shahadat, Alyami, Salem A., Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). GRU-INC: an inception-attention based approach using GRU for human activity recognition. Expert Systems with Applications, 216 119419. doi: 10.1016/j.eswa.2022.119419

Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019

Momtazmanesh, Sara, Moghaddam, Sahar Saeedi, Ghamari, Seyyed-Hadi, Rad, Elaheh Malakan, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar Morad, Md Abdullah, Abu Yousuf, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adnan, Mohammad, Sakilah Adnani, Qorinah Estiningtyas, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik Ahmed, Al Hamad, Hanadi ... Farzadfar, Farshad (2023). Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019. eClinicalMedicine, 59 101936, 101936. doi: 10.1016/j.eclinm.2023.101936

Multi-omics data integration methods and their applications in psychiatric disorders

Sathyanarayanan, Anita, Mueller, Tamara T., Ali Moni, Mohammad, Schueler, Katja, Baune, Bernhard T., Lio, Pietro, Mehta, Divya, Baune, Bernhard T, Dierssen, Mara, Ebert, Bjarke, Fabbri, Chiara, Fusar-Poli, Paolo, Gennarelli, Massimo, Harmer, Catherine, Howes, Oliver D., Janzing, Joost G.E., Lio, Pietro, Maron, Eduard, Mehta, Divya, Minelli, Alessandra, Nonell, Lara, Pisanu, Claudia, Potier, Marie-Claude, Rybakowski, Filip, Serretti, Alessandro, Sqassina, Alessio, Stacey, David, van Westrhenen, Roos and Xicota, Laura (2023). Multi-omics data integration methods and their applications in psychiatric disorders. European Neuropsychopharmacology, 69, 26-46. doi: 10.1016/j.euroneuro.2023.01.001

An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients

Hossain, Md Arju, Rahman, Md Habibur, Sultana, Habiba, Ahsan, Asif, Rayhan, Saiful Islam, Hasan, Md Imran, Sohel, Md, Somadder, Pratul Dipta and Moni, Mohammad Ali (2023). An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients. Computers in Biology and Medicine, 155 106656, 1-21. doi: 10.1016/j.compbiomed.2023.106656

DTLCx: an improved ResNet architecture to classify normal and conventional pneumonia cases from COVID-19 instances with Grad-CAM-based superimposed visualization utilizing chest X-ray images

Ahamed, Md. Khabir Uddin, Islam, Md Manowarul, Uddin, Md. Ashraf, Akhter, Arnisha, Acharjee, Uzzal Kumar, Paul, Bikash Kumar and Moni, Mohammad Ali (2023). DTLCx: an improved ResNet architecture to classify normal and conventional pneumonia cases from COVID-19 instances with Grad-CAM-based superimposed visualization utilizing chest X-ray images. Diagnostics, 13 (3) 551, 551. doi: 10.3390/diagnostics13030551

A dependable hybrid machine learning model for network intrusion detection

Talukder, Md. Alamin, Hasan, Khondokar Fida, Islam, Md. Manowarul, Uddin, Md. Ashraf, Akhter, Arnisha, Yousuf, Mohammand Abu, Alharbi, Fares and Moni, Mohammad Ali (2023). A dependable hybrid machine learning model for network intrusion detection. Journal of Information Security and Applications, 72 103405. doi: 10.1016/j.jisa.2022.103405

Clinically Adaptable Machine Learning Model To Identify Early Appreciable Features of Diabetes In Bangladesh

Nipa, Nurjahan, Riyad, Md. Mahmudul Hasan, Satu, Md. Shahriare, Walliullah, Md., Howlader, Koushik Chandra and Moni, Mohammad Ali (2023). Clinically Adaptable Machine Learning Model To Identify Early Appreciable Features of Diabetes In Bangladesh. Intelligent Medicine. doi: 10.1016/j.imed.2023.01.003

Systematic approach to identify therapeutic targets and functional pathways for the cervical cancer

Hasan, Md. Tanvir, Islam, Md. Rakibul, Islam, Md. Rezwan, Altahan, Baraa Riyadh, Ahmed, Kawsar, Bui, Francis M., Azam, Sami and Moni, Mohammad Ali (2023). Systematic approach to identify therapeutic targets and functional pathways for the cervical cancer. Journal of Genetic Engineering and Biotechnology, 21 (1) 10, 10. doi: 10.1186/s43141-023-00469-x

A comprehensive review of green computing: past, present, and future research

Paul, Showmick Guha, Saha, Arpa, Arefin, Mohammad Shamsul, Bhuiyan, Touhid, Biswas, Al Amin, Reza, Ahmed Wasif, Alotaibi, Naif M., Alyami, Salem A. and Moni, Mohammad Ali (2023). A comprehensive review of green computing: past, present, and future research. IEEE Access, 11, 1-1. doi: 10.1109/access.2023.3304332

Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and postvaccination reactogenicity

Ahamad, Md. Martuza, Aktar, Sakifa, Uddin, Md. Jamal, Rashed-Al-Mahfuz, Md., Azad, A. K. M., Uddin, Shahadat, Alyami, Salem A., Sarker, Iqbal H., Khan, Asaduzzaman, Liò, Pietro, Quinn, Julian M. W. and Moni, Mohammad Ali (2023). Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and postvaccination reactogenicity. Healthcare, 11 (1) 31. doi: 10.3390/healthcare11010031

An Intelligent Thyroid Diagnosis System Utilising Multiple Ensemble and Explainable Algorithms with Medical Supported Attributes

Sutradhar, Ananda, Al Rafi, Mustahsin, Ghosh, Pronab, Shamrat, F M Javed Mehedi, Moniruzzaman, Md., Ahmed, Kawsar, Azad, AKM, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2023). An Intelligent Thyroid Diagnosis System Utilising Multiple Ensemble and Explainable Algorithms with Medical Supported Attributes. IEEE Transactions on Artificial Intelligence, 1-15. doi: 10.1109/tai.2023.3327981

Multi-disease detection using a prism-based surface plasmon resonance sensor: A TMM and FEM approach

Rumi, Rabeya Bosrin, Paul, Alok Kumar, Alyami, Salem A. and Moni, Mohammad Ali (2023). Multi-disease detection using a prism-based surface plasmon resonance sensor: A TMM and FEM approach. IEEE Transactions on NanoBioscience, 1-14. doi: 10.1109/tnb.2023.3286269

PSRTTCA: a new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning

Charoenkwan, Phasit, Pipattanaboon, Chonlatip, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio’, Pietro and Shoombuatong, Watshara (2023). PSRTTCA: a new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Computers in Biology and Medicine, 152 106368, 106368. doi: 10.1016/j.compbiomed.2022.106368

Preface

Satu, Md. Shahriare, Moni, Mohammad Ali, Kaiser, M. Shamim and Arefin, Mohammad Shamsul (2023). Preface. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 491 LNICST, v-vi.

Preface

Satu, Md. Shahriare, Moni, Mohammad Ali, Kaiser, M. Shamim and Arefin, Mohammad Shamsul (2023). Preface. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 490 LNICST, v-vi.

The Global, Regional, and National Burden of Adult Lip, Oral, and Pharyngeal Cancer in 204 Countries and Territories: A Systematic Analysis for the Global Burden of Disease Study 2019

Cunha, Amanda Ramos Da, Compton, Kelly, Xu, Rixing, Mishra, Rashmi, Drangsholt, Mark Thomas, Antunes, Jose Leopoldo Ferreira, Kerr, Alexander R., Acheson, Alistair R., Lu, Dan, Wallace, Lindsey E., Kocarnik, Jonathan M., Fu, Weijia, Dean, Frances E., Pennini, Alyssa, Henrikson, Hannah Jacqueline, Alam, Tahiya, Ababneh, Emad, Abd-Elsalam, Sherief, Abdoun, Meriem, Abidi, Hassan, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Adane, Tigist Demssew, Addo, Isaac Yeboah, Ahmad, Aqeel, Ahmad, Sajjad, Ahmed Rashid, Tarik, Akonde, Maxwell, Al Hamad, Hanadi ... Hugo, Fernando N. (2023). The Global, Regional, and National Burden of Adult Lip, Oral, and Pharyngeal Cancer in 204 Countries and Territories: A Systematic Analysis for the Global Burden of Disease Study 2019. JAMA Oncology, 9 (10), 1401. doi: 10.1001/jamaoncol.2023.2960

Metastatic phenotype and immunosuppressive tumour microenvironment in pancreatic ductal adenocarcinoma: key role of the urokinase plasminogen activator (PLAU)

Hosen, S. M. Zahid, Uddin, Md. Nazim, Xu, Zhihong, Buckley, Benjamin J., Perera, Chamini, Pang, Tony C. Y., Mekapogu, Alpha Raj, Moni, Mohammad Ali, Notta, Faiyaz, Gallinger, Steven, Pirola, Ron, Wilson, Jeremy, Ranson, Marie, Goldstein, David and Apte, Minoti (2022). Metastatic phenotype and immunosuppressive tumour microenvironment in pancreatic ductal adenocarcinoma: key role of the urokinase plasminogen activator (PLAU). Frontiers in Immunology, 13 1060957. doi: 10.3389/fimmu.2022.1060957

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

Charoenkwan, Phasit, Ahmed, Saeed, Nantasenamat, Chanin, Quinn, Julian M. W., Moni, Mohammad Ali, Lio’, Pietro and Shoombuatong, Watshara (2022). AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning. Scientific Reports, 12 (1) 7697, 7697. doi: 10.1038/s41598-022-11897-z

Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images

Uddin, Khandaker Mohammad Mohi, Dey, Samrat Kumar, Babu, Hafiz Md. Hasan, Mostafiz, Rafid, Uddin, Shahadat, Shoombuatong, Watshara and Moni, Mohammad Ali (2022). Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images. Scientific Reports, 12 (1) 21796, 1-15. doi: 10.1038/s41598-022-25539-x

Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysis

Rahman, Md. Shahedur, Biswas, Polash Kumar, Saha, Subbroto Kumar and Moni, Mohammad Ali (2022). Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysis. Network Modeling Analysis in Health Informatics and Bioinformatics, 11 (1) 7. doi: 10.1007/s13721-021-00352-0

StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy

Schaduangrat, Nalini, Anuwongcharoen, Nuttapat, Moni, Mohammad Ali, Lio’, Pietro, Charoenkwan, Phasit and Shoombuatong, Watshara (2022). StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy. Scientific Reports, 12 (1) 16435, 1-16. doi: 10.1038/s41598-022-20143-5

EEG-based emotion analysis using non-linear features and ensemble learning approaches

Rahman, Md. Mustafizur, Sarkar, Ajay Krishno, Hossain, Md. Amzad and Moni, Mohammad Ali (2022). EEG-based emotion analysis using non-linear features and ensemble learning approaches. Expert Systems with Applications, 207 118025, 1-26. doi: 10.1016/j.eswa.2022.118025

iAMAP-SCM: a novel computational tool for large-scale identification of antimalarial peptides using estimated propensity scores of dipeptides

Charoenkwan, Phasit, Schaduangrat, Nalini, Lio, Pietro, Moni, Mohammad Ali, Chumnanpuen, Pramote and Shoombuatong, Watshara (2022). iAMAP-SCM: a novel computational tool for large-scale identification of antimalarial peptides using estimated propensity scores of dipeptides. ACS Omega, 7 (45), 41082-41095. doi: 10.1021/acsomega.2c04465

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

Talukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md Ashraf, Akhter, Arnisha, Hasan, Khondokar Fida and Moni, Mohammad Ali (2022). Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning. Expert Systems with Applications, 205 117695, 117695. doi: 10.1016/j.eswa.2022.117695

The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis

Mestrovic, Tomislav, Robles Aguilar, Gisela, Swetschinski, Lucien R, Ikuta, Kevin S, Gray, Authia P, Davis Weaver, Nicole, Han, Chieh, Wool, Eve E, Gershberg Hayoon, Anna, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, Addo, Isaac Yeboah, Ahinkorah, Bright Opoku, Ahmed, Ayman, Aldeyab, Mamoon A, Allel, Kasim, Ancuceanu, Robert, Anyasodor, Anayochukwu Edward, Ausloos, Marcel, Barra, Fabio, Bhagavathula, Akshaya Srikanth, Bhandari, Dinesh, Bhaskar, Sonu, Cruz-Martins, Natália, Dastiridou, Anna, Dokova, Klara, Dubljanin, Eleonora ... Naghavi, Mohsen (2022). The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis. The Lancet Public Health, 7 (11), e897-e913. doi: 10.1016/s2468-2667(22)00225-0

Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides

Charoenkwan, Phasit, Chumnanpuen, Pramote, Schaduangrat, Nalini, Lio’, Pietro, Moni, Mohammad Ali and Shoombuatong, Watshara (2022). Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. Journal of Computer - Aided Molecular Design, 36 (11), 781-796. doi: 10.1007/s10822-022-00476-z

Novel algorithm for multi-time data implantation in a special cyber-manufacturing architecture

Nahar, Mahbubun, Kamal, A. H. M., Hassan, Md Rafiul and Moni, Mohammad Ali (2022). Novel algorithm for multi-time data implantation in a special cyber-manufacturing architecture. Algorithms, 15 (10) 335, 335. doi: 10.3390/a15100335

Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework

Charoenkwan, Phasit, Schaduangrat, Nalini, Lio’, Pietro, Moni, Mohammad Ali, Shoombuatong, Watshara and Manavalan, Balachandran (2022). Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework. iScience, 25 (9) 104883, 1-15. doi: 10.1016/j.isci.2022.104883

Prospects of integrated multi-omics-driven biomarkers for efficient hair loss therapy from systems biology perspective

Yilmaz, Dilan Nisa, Onluturk Aydogan, Ozge, Kori, Medi, Aydin, Busra, Rahman, Md. Rezanur, Moni, Mohammad Ali and Turanli, Beste (2022). Prospects of integrated multi-omics-driven biomarkers for efficient hair loss therapy from systems biology perspective. Gene Reports, 28 101657, 1-9. doi: 10.1016/j.genrep.2022.101657

SCMRSA: A new approach for identifying and analyzing anti-MRSA peptides using estimated propensity scores of dipeptides

Charoenkwan, Phasit, Kanthawong, Sakawrat, Schaduangrat, Nalini, Li', Pietro, Moni, Mohammad Ali and Shoombuatong, Watshara (2022). SCMRSA: A new approach for identifying and analyzing anti-MRSA peptides using estimated propensity scores of dipeptides. ACS Omega, 7 (36), 32653-32664. doi: 10.1021/acsomega.2c04305

CNN based on transfer learning models using data augmentation and transformation for detection of concrete crack

Islam, Md. Monirul, Hossain, Md. Belal, Akhtar, Md. Nasim, Moni, Mohammad Ali and Hasan, Khondokar Fida (2022). CNN based on transfer learning models using data augmentation and transformation for detection of concrete crack. Algorithms, 15 (8) 287. doi: 10.3390/a15080287

Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases

Al-Mustanjid, Md, Mahmud, S. M. Hasan, Akter, Farzana, Rahman, Md Shazzadur, Hossen, Md Sajid, Rahman, Md Habibur and Moni, Mohammad Ali (2022). Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases. Informatics in Medicine Unlocked, 32 101003, 1-15. doi: 10.1016/j.imu.2022.101003

Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019

Peden, Amy E, Cullen, Patricia, Francis, Kate Louise, Moeller, Holger, Peden, Margaret M, Ye, Pengpeng, Tian, Maoyi, Zou, Zhiyong, Sawyer, Susan M, Aali, Amirali, Abbasi-Kangevari, Zeinab, Abbasi-Kangevari, Mohsen, Abdelmasseh, Michael, Abdoun, Meriem, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abebe, Getachew, Abebe, Ayele Mamo, Abedi, Aidin, Abidi, Hassan, Aboagye, Richard Gyan, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adewole, Ololade Grace, Adhikari, Sangeet, Adnan, Mohammad ... Ivers, Rebecca Q (2022). Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019. The Lancet Public Health, 7 (8), e657-e669. doi: 10.1016/S2468-2667(22)00134-7

Bioinformatics strategies to identify shared molecular biomarkers that link ischemic stroke and moyamoya disease with glioblastoma

Islam, Md Khairul, Islam, Md Rakibul, Rahman, Md Habibur, Islam, Md Zahidul, Amin, Md Al, Ahmed, Kazi Rejvee, Rahman, Md Ataur, Moni, Mohammad Ali and Kim, Bonglee (2022). Bioinformatics strategies to identify shared molecular biomarkers that link ischemic stroke and moyamoya disease with glioblastoma. Pharmaceutics, 14 (8) 1573. doi: 10.3390/pharmaceutics14081573

Early-stage detection of ovarian cancer based on clinical data using machine learning approaches

Ahamad, Md. Martuza, Aktar, Sakifa, Uddin, Md. Jamal, Rahman, Tasnia, Alyami, Salem A., Al-Ashhab, Samer, Akhdar, Hanan Fawaz, Azad, AKM and Moni, Mohammad Ali (2022). Early-stage detection of ovarian cancer based on clinical data using machine learning approaches. Journal of Personalized Medicine, 12 (8) 1211. doi: 10.3390/jpm12081211

Genetic pathways associated with sleep problems in children with autism spectrum disorder

Lin, Ping-I, Masi, Anne, Moni, Mohammad Ali, Kummerfeld, Sarah and Eapen, Valsamma (2022). Genetic pathways associated with sleep problems in children with autism spectrum disorder. Frontiers in Psychiatry, 13 904091, 1-8. doi: 10.3389/fpsyt.2022.904091

A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models

Aurna, Nahid Ferdous, Yousuf, Mohammad Abu, Taher, Kazi Abu, Azad, A.K.M. and Moni, Mohammad Ali (2022). A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models. Computers in Biology and Medicine, 146 105539, 105539. doi: 10.1016/j.compbiomed.2022.105539

Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum

Masi, Anne, Moni, Mohammod Ali, Azim, Syeda Ishra, Choi, Byungkuk, Heussler, Helen, Lin, Ping-I, Diaz, Antonio Mendoza and Eapen, Valsamma (2022). Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum. Autism Research, 15 (7), 1274-1287. doi: 10.1002/aur.2745

GreenMolBD: nature derived bioactive molecules' database

Zahid Hosen, S. M., Junaid, Md., Alam, Muhammad Shaiful, Rubayed, Maruf, Dash, Raju, Akter, Rasheda, Sharmin, Tania, Mouri, Nusrat Jahan, Moni, Mohammad Ali, Khatun, Mahmuda and Mostafa, Mohammad (2022). GreenMolBD: nature derived bioactive molecules' database. Medicinal Chemistry, 18 (6), 724-733. doi: 10.2174/1573406418666211129103458

Hydrogel nanoarchitectonics: an evolving paradigm for ultrasensitive biosensing

Nishat, Zakia Sultana, Hossain, Tanvir, Islam, Md. Nazmul, Phan, Hoang‐Phuong, Wahab, Md A., Moni, Mohammad Ali, Salomon, Carlos, Amin, Mohammed A., Sina, Abu Ali Ibn, Hossain, Md Shahriar A., Kaneti, Yusuf Valentino, Yamauchi, Yusuke and Masud, Mostafa Kamal (2022). Hydrogel nanoarchitectonics: an evolving paradigm for ultrasensitive biosensing. Small, 18 (26) 2107571, 2107571. doi: 10.1002/smll.202107571

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins

Charoenkwan, Phasit, Schaduangrat, Nalini, Moni, Mohammad Ali, Lio’, Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2022). SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Computers in Biology and Medicine, 146 105704, 105704. doi: 10.1016/j.compbiomed.2022.105704

An improved K-means clustering algorithm towards an efficient data-driven modeling

Zubair, Md., Iqbal, Md. Asif, Shil, Avijeet, Chowdhury, M. J.M., Moni, Mohammad Ali and Sarker, Iqbal H. (2022). An improved K-means clustering algorithm towards an efficient data-driven modeling. Annals of Data Science, 1-20. doi: 10.1007/s40745-022-00428-2

Patterns of sensory modulation by age and sex in young people on the autism spectrum

Lane, Alison E., Simpson, Kate, Masi, Anne, Grove, Rachel, Moni, Mohammad Ali, Montgomery, Alicia, Roberts, Jacqui, Silove, Natalie, Whalen, Olivia, Whitehouse, Andrew J. O. and Eapen, Valsamma (2022). Patterns of sensory modulation by age and sex in young people on the autism spectrum. Autism Research, 15 (10), 1840-1854. doi: 10.1002/aur.2762

DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins

Hosen, Md. Faruk, Mahmud, S.M. Hasan, Ahmed, Kawsar, Chen, Wenyu, Moni, Mohammad Ali, Deng, Hong-Wen, Shoombuatong, Watshara and Hasan, Md Mehedi (2022). DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins. Computers in Biology and Medicine, 145 105433, 1-12. doi: 10.1016/j.compbiomed.2022.105433

Metals in e-waste: occurrence, fate, impacts and remediation technologies

Chakraborty, S. C., Qamruzzaman, M., Zaman, M. W.U., Alam, Md Masruck, Hossain, Md Delowar, Pramanik, B. K., Nguyen, L. N., Nghiem, L. D., Ahmed, M. F., Zhou, J. L., Mondal, Md. Ibrahim.H., Hossain, M. A., Johir, M. A.H., Ahmed, M. B., Sithi, J. A., Zargar, M. and Moni, Mohammad Ali (2022). Metals in e-waste: occurrence, fate, impacts and remediation technologies. Process Safety and Environmental Protection, 162, 230-252. doi: 10.1016/j.psep.2022.04.011

NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides

Charoenkwan, Phasit, Schaduangrat, Nalini, Lio, Pietro, Moni, Mohammad Ali, Manavalan, Balachandran and Shoombuatong, Watshara (2022). NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Computers in Biology and Medicine, 148 105700, 1-10. doi: 10.1016/j.compbiomed.2022.105700

MLBioIGE: integration and interplay of machine learning and bioinformatics approach to identify the genetic effect of SARS-COV-2 on idiopathic pulmonary fibrosis patients

Mehedi, Sk. Tanzir, Ahmed, Kawsar, Bui, Francis M, Rahaman, Musfikur, Hossain, Imran, Tonmoy, Tareq Mahmud, Limon, Rakibul Alam, Ibrahim, Sobhy M and Moni, Mohammad Ali (2022). MLBioIGE: integration and interplay of machine learning and bioinformatics approach to identify the genetic effect of SARS-COV-2 on idiopathic pulmonary fibrosis patients. Biology Methods and Protocols, 7 (1) bpac013, 1-17. doi: 10.1093/biomethods/bpac013

Mutual Interdependence of the physical parameters governing the boundary-layer flow of non-Newtonian fluids

Al-Ashhab, Samer, Wei, Dongming, Alyami, Salem A., Azad, AKM and Moni, Mohammad Ali (2022). Mutual Interdependence of the physical parameters governing the boundary-layer flow of non-Newtonian fluids. Applied Sciences, 12 (10) 5275, 1-12. doi: 10.3390/app12105275

Efficient machine learning models for early stage detection of autism spectrum disorder

Bala, Mousumi, Ali, Mohammad Hanif, Satu, Md. Shahriare, Hasan, Khondokar Fida and Moni, Mohammad Ali (2022). Efficient machine learning models for early stage detection of autism spectrum disorder. Algorithms, 15 (5) 166. doi: 10.3390/a15050166

Discovering common pathophysiological processes between COVID-19 and cystic fibrosis by differential gene expression pattern analysis

Hasan, Md. Tanvir, Abdulrazak, Lway Faisal, Alam, Mohammad Khursheed, Islam, Md. Rezwan, Sathi, Yeasmin Hena, Al-Zahrani, Fahad Ahmed, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2022). Discovering common pathophysiological processes between COVID-19 and cystic fibrosis by differential gene expression pattern analysis. BioMed Research International, 2022 8078259, 8078259. doi: 10.1155/2022/8078259

Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction

Uddin, Shahadat, Haque, Ibtisham, Lu, Haohui, Moni, Mohammad Ali and Gide, Ergun (2022). Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction. Scientific Reports, 12 (1) 6256, 6256. doi: 10.1038/s41598-022-10358-x

Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countries

Khan, Asaduzzaman, Moni, Mohammad A., Khan, Shanchita R. and Burton, Nicola W. (2022). Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countries. Scandinavian Journal of Public Health, 51 (6), 140349482210824-925. doi: 10.1177/14034948221082459

A machine learning model for predicting individual substance abuse with associated risk-factors

Islam, Uwaise Ibna, Haque, Enamul, Alsalman, Dheyaaldin, Islam, Muhammad Nazrul, Moni, Mohammad Ali and Sarker, Iqbal H. (2022). A machine learning model for predicting individual substance abuse with associated risk-factors. Annals of Data Science, 10 (6), 1-28. doi: 10.1007/s40745-022-00381-0

SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins

Ahmad, Saeed, Charoenkwan, Phasit, Quinn, Julian M. W., Moni, Mohammad Ali, Hasan, Md Mehedi, Lio', Pietro and Shoombuatong, Watshara (2022). SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins. Scientific Reports, 12 (1) 4106, 1-15. doi: 10.1038/s41598-022-08173-5

Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019

Cousin, Ewerton, Duncan, Bruce B, Stein, Caroline, Ong, Kanyin Liane, Vos, Theo, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdelmasseh, Michael, Abdoli, Amir, Abd-Rabu, Rami, Abolhassani, Hassan, Abu-Gharbieh, Eman, Accrombessi, Manfred Mario Kokou, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Agarwal, Gina, Agrawaal, Krishna K, Agudelo-Botero, Marcela, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Sepideh, Ahmadi, Ali, Ahmed, Ali, Ahmed Salih, Yusra, Akande-Sholabi, Wuraola, Akram, Tayyaba, Al Hamad, Hanadi ... Schmidt, Maria Inês (2022). Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019. The Lancet Diabetes and Endocrinology, 10 (3), 177-192. doi: 10.1016/S2213-8587(21)00349-1

Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019

Cousin, Ewerton, Duncan, Bruce B., Stein, Caroline, Ong, Kanyin Liane, Vos, Theo, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdelmasseh, Michael, Abdoli, Amir, Abd-Rabu, Rami, Abolhassani, Hassan, Abu-Gharbieh, Eman, Accrombessi, Manfred Mario Kokou, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Agarwal, Gina, Agrawaal, Krishna K., Agudelo-Botero, Marcela, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Sepideh, Ahmadi, Ali, Ahmed, Ali, Salih, Yusra Ahmed, Akande-Sholabi, Wuraola, Akram, Tayyaba, Al Hamad, Hanadi ... Schmidt, Maria Ines (2022). Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019. Lancet Diabetes & Endocrinology, 10 (3), 177-192. doi: 10.1016/S2213-8587(21)00349-1

Machine learning models for classification and identification of significant attributes to detect type 2 diabetes

Howlader, Koushik Chandra, Satu, Md. Shahriare, Awal, Md. Abdul, Islam, Md. Rabiul, Islam, Sheikh Mohammed Shariful, Quinn, Julian M. W. and Moni, Mohammad Ali (2022). Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. Health Information Science and Systems, 10 (1) 2, 2. doi: 10.1007/s13755-021-00168-2

A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus

Lu, Haohui, Uddin, Shahadat, Hajati, Farshid, Moni, Mohammad Ali and Khushi, Matloob (2022). A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. Applied Intelligence, 52 (3), 2411-2422. doi: 10.1007/s10489-021-02533-w

Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019

GBD 2019 Dementia Forecasting Collaborators, Moniruzzaman, Md and Moni, Mohammad Ali (2022). Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. The Lancet. Public health, 7 (2), e105-e125. doi: 10.1016/S2468-2667(21)00249-8

Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990–2019: results from the Global Burden of Disease Study 2019

Ledesma, Jorge R, Ma, Jianing, Vongpradith, Avina, Maddison, Emilie R, Novotney, Amanda, Biehl, Molly H, LeGrand, Kate E, Ross, Jennifer M, Jahagirdar, Deepa, Bryazka, Dana, Feldman, Rachel, Abolhassani, Hassan, Abosetugn, Akine Eshete, Abu-Gharbieh, Eman, Adebayo, Oladimeji M, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad Ahmad, Ahmadi, Sepideh, Ahmed Rashid, Tarik, Ahmed Salih, Yusra, Aklilu, Addis, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Alemayehu, Yosef, Alene, Kefyalew Addis, Ali, Beriwan Abdulqadir ... Kyu, Hmwe Hmwe (2022). Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990–2019: results from the Global Burden of Disease Study 2019. The Lancet Infectious Diseases, 22 (2), 222-241. doi: 10.1016/S1473-3099(21)00449-7

Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with cancers

Islam, Md Khairul, Rahman, Md. Habibur, Islam, Md Rakibul, Islam, Md Zahidul, Mamun, Md Mainul Islam, Azad, A. K.M. and Moni, Mohammad Ali (2022). Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with cancers. Heliyon, 8 (2) e08892, e08892. doi: 10.1016/j.heliyon.2022.e08892

Identification of potential key genes and molecular mechanisms of medulloblastoma based on integrated bioinformatics approach

Islam, Md. Rakibul, Abdulrazak, Lway Faisal, Alam, Mohammad Khursheed, Paul, Bikash Kumar, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2022). Identification of potential key genes and molecular mechanisms of medulloblastoma based on integrated bioinformatics approach. BioMed Research International, 2022 1776082, 1-17. doi: 10.1155/2022/1776082

SCMTHP: a new approach for identifying and characterizing of tumor-homing peptides using estimated propensity scores of amino acids

Charoenkwan, Phasit, Chiangjong, Wararat, Nantasenamat, Chanin, Moni, Mohammad Ali, Lio’, Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2022). SCMTHP: a new approach for identifying and characterizing of tumor-homing peptides using estimated propensity scores of amino acids. Pharmaceutics, 14 (1) 122, 122. doi: 10.3390/pharmaceutics14010122

Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins

Charoenkwan, Phasit, Schaduangrat, Nalini, Hasan, Md Mehedi, Moni, Mohammad Ali, Lió, Pietro and Shoombuatong, Watshara (2022). Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins. EXCLI Journal, 21, 554-570. doi: 10.17179/excli2022-4723

An in silico approach towards identification of novel drug targets in Klebsiella oxytoca

Hafsa, Umme, Chuwdhury, G. S., Hasan, Md Kamrul, Ahsan, Tanveer and Moni, Mohammad Ali (2022). An in silico approach towards identification of novel drug targets in Klebsiella oxytoca. Informatics in Medicine Unlocked, 31 100998, 1-10. doi: 10.1016/j.imu.2022.100998

Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor

Khatun, Mst. Alema, Yousuf, Mohammad Abu, Ahmed, Sabbir, Uddin, Md. Zia, Alyami, Salem A., Al-Ashhab, Samer, Akhdar, Hanan F., Khan, Asaduzzaman, Azad, Akm and Moni, Mohammad Ali (2022). Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor. IEEE Journal of Translational Engineering in Health and Medicine, 10 2700316, 1-16. doi: 10.1109/jtehm.2022.3177710

Exploring the influencing factors for infant mortality: a mixed-method study of 24 developing countries based on demographic and health survey data

Islam, Md. Akhtarul, Tabassum, Tarana and Moni, Mohammad Ali (2022). Exploring the influencing factors for infant mortality: a mixed-method study of 24 developing countries based on demographic and health survey data. Family Medicine and Primary Care Review, 24 (3), 227-236. doi: 10.5114/fmpcr.2022.118281

Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approach

Islam, A.M. Humyra, Rahman, Md Habibur, Bristy, Sadia Afrin, Andalib, K.M. Salim, Khan, Umama, Awal, Md Abdul, Hossain, Md Shahadat and Moni, Mohammad Ali (2022). Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approach. Informatics in Medicine Unlocked, 29 100881, 1-12. doi: 10.1016/j.imu.2022.100881

Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: a bioinformatics and systems biology approach

Mahbub, Nosin Ibna, Hasan, Md. Imran, Rahman, Md Habibur, Naznin, Feroza, Islam, Md Zahidul and Moni, Mohammad Ali (2022). Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: a bioinformatics and systems biology approach. Informatics in Medicine Unlocked, 30 100888, 1-12. doi: 10.1016/j.imu.2022.100888

In silico molecular docking and ADME/T analysis of Quercetin compound with its evaluation of broad-spectrum therapeutic potential against particular diseases

Hasan, Md Mahmudul, Khan, Zidan, Chowdhury, Mohammed Salahuddin, Khan, Md Arif, Moni, Mohammad Ali and Rahman, Md Habibur (2022). In silico molecular docking and ADME/T analysis of Quercetin compound with its evaluation of broad-spectrum therapeutic potential against particular diseases. Informatics in Medicine Unlocked, 29 100894, 1-8. doi: 10.1016/j.imu.2022.100894

Particle swarm optimized fuzzy CNN with quantitative feature fusion for ultrasound image quality identification

Hossain, Muhammad Minoar, Hasan, Md. Mahmodul, Rahim, Md Abdur, Rahman, Mohammad Motiur, Yousuf, Mohammad Abu, Al-Ashhab, Samer, Akhdar, Hanan F., Alyami, Salem A., Azad, AKM and Moni, Mohammad Ali (2022). Particle swarm optimized fuzzy CNN with quantitative feature fusion for ultrasound image quality identification. IEEE Journal of Translational Engineering in Health and Medicine, 10 1800712, 1-13. doi: 10.1109/jtehm.2022.3197923

Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiency

Islam, M. Babul, Chowdhury, Utpala Nanda, Nashiry, Md. Asif and Moni, Mohammad Ali (2022). Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiency. Informatics in Medicine Unlocked, 34 101116. doi: 10.1016/j.imu.2022.101116

Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19

Hasan, Md. Imran, Rahman, Md Habibur, Islam, M. Babul, Islam, Md Zahidul, Hossain, Md Arju and Moni, Mohammad Ali (2022). Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19. Informatics in Medicine Unlocked, 28 100840. doi: 10.1016/j.imu.2021.100840

Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis for the Global Burden of Disease Study 2019

Kocarnik, Jonathan M., Compton, Kelly, Dean, Frances E., Fu, Weijia, Gaw, Brian L., Harvey, James D., Henrikson, Hannah Jacqueline, Lu, Dan, Pennini, Alyssa, Xu, Rixing, Ababneh, Emad, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Elsalam, Sherief M., Abdoli, Amir, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Adedeji, Isaac Akinkunmi, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M., Afzal, Muhammad Sohail, Aghaali, Mohammad, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed Rashid, Tarik ... Force, Lisa M. (2021). Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis for the Global Burden of Disease Study 2019. JAMA Oncology, 8 (3), 420-444. doi: 10.1001/jamaoncol.2021.6987

StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides

Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio', Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2021). StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides. Methods, 204, 189-198. doi: 10.1016/j.ymeth.2021.12.001

Umpred-frl: a new approach for accurate prediction of umami peptides using feature representation learning

Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Manavalan, Balachandran and Shoombuatong, Watshara (2021). Umpred-frl: a new approach for accurate prediction of umami peptides using feature representation learning. International Journal of Molecular Sciences, 22 (23) 13124. doi: 10.3390/ijms222313124

The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019

GBD 2019 Adolescent Young Adult Cancer Collaborators, Wubishet, Befikadu Legesse and Moni, Mohammad Ali (2021). The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. Oncology, 23 (1), 27-52. doi: 10.1016/S1470-2045(21)00581-7

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

Ahamed, Khabir Uddin, Islam, Manowarul, Uddin, Ashraf, Akhter, Arnisha, Paul, Bikash Kumar, Yousuf, Mohammad Abu, Uddin, Shahadat, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Computers in Biology and Medicine, 139 105014, 105014. doi: 10.1016/j.compbiomed.2021.105014

Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective

Islam, Rakibul, Ahmed, Liton, Paul, Bikash Kumar, Ahmed, Kawsar, Bhuiyan, Touhid and Moni, Mohammad Ali (2021). Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective. Journal of Genetic Engineering and Biotechnology, 19 (1) 43. doi: 10.1186/s43141-021-00134-1

In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.)

Mosharaf, Md. Parvez, Rahman, Hafizur, Ahsan, Md. Asif, Akond, Zobaer, Ahmed, Fee Faysal, Islam, Md. Mazharul, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2021). In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.). PLoS One, 15 (12) e0228233. doi: 10.1371/journal.pone.0228233

LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data

Faruqui, Nuruzzaman, Yousuf, Mohammad Abu, Whaiduzzaman, Md, Azad, A. K.M., Barros, Alistair and Moni, Mohammad Ali (2021). LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data. Computers in Biology and Medicine, 139 104961, 104961. doi: 10.1016/j.compbiomed.2021.104961

Machine learning-based statistical analysis for early stage detection of cervical cancer

Ali, Md Mamun, Ahmed, Kawsar, Bui, Francis M., Paul, Bikash Kumar, Ibrahim, Sobhy M., Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning-based statistical analysis for early stage detection of cervical cancer. Computers in Biology and Medicine, 139 104985, 104985. doi: 10.1016/j.compbiomed.2021.104985

Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems

Cork, Michael A., Henry, Nathaniel J., Watson, Stefanie, Croneberger, Andrew J., Baumann, Mathew, Letourneau, Ian D., Yang, Mingyou, Serfes, Audrey L., Abbas, Jaffar, Abbasi, Nooshin, Abbastabar, Hedayat, Abreu, Lucas G., Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Adabi, Maryam, Adal, Tadele G., Adegbosin, Adeyinka E., Adekanmbi, Victor, Adetokunboh, Olatunji O., Agudelo-Botero, Marcela, Ahinkorah, Bright O., Ahmadi, Keivan, Ahmed, Muktar B., Alhassan, Robert K., Alipour, Vahid, Almasi-Hashiani, Amir, Alvis-Guzman, Nelson, Ancuceanu, Robert, Andrei, Tudorel ... Dwyer-Lindgren, Laura (2021). Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems. BMC Medicine, 19 (1) 4. doi: 10.1186/s12916-020-01876-4

Stem cell therapies and benefaction of somatic cell nuclear transfer cloning in COVID-19 era

Singh, Birbal, Mal, Gorakh, Verma, Vinod, Tiwari, Ruchi, Khan, Muhammad Imran, Mohapatra, Ranjan K., Mitra, Saikat, Alyami, Salem A., Emran, Talha Bin, Dhama, Kuldeep and Moni, Mohammad Ali (2021). Stem cell therapies and benefaction of somatic cell nuclear transfer cloning in COVID-19 era. Stem Cell Research and Therapy, 12 (1) 283, 1-16. doi: 10.1186/s13287-021-02334-5

Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders

Nashiry, Md Asif, Sumi, Shauli Sarmin, Sharif Shohan, Mohammad Umer, Alyami, Salem A., Azad, A. K.M. and Moni, Mohammad Ali (2021). Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders. Briefings in Bioinformatics, 22 (6) bbab126. doi: 10.1093/bib/bbab126

Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance

Chen, Kexin, Xu, Haoming, Lei, Yiming, Lio, Pietro, Li, Yuan, Guo, Hongyan and Ali Moni, Mohammad (2021). Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance. Briefings in Bioinformatics, 22 (6) bbab100. doi: 10.1093/bib/bbab100

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases

Rahman, Md Habibur, Rana, Humayan Kabir, Peng, Silong, Kibria, Md Golam, Islam, Md Zahidul, Mahmud, S M Hasan and Moni, Mohammad Ali (2021). Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases. Computers in Biology and Medicine, 138 104859, 104859. doi: 10.1016/j.compbiomed.2021.104859

Development of an in silico multi-epitope vaccine against SARS-COV-2 by précised immune-informatics approaches

Al Zamane, Saad, Nobel, Fahim Alam, Jebin, Ruksana Akter, Amin, Mohammed Badrul, Somadder, Pratul Dipta, Antora, Nusrat Jahan, Hossain, Md Imam, Islam, Mohammod Johirul, Ahmed, Kawsar and Moni, Mohammad Ali (2021). Development of an in silico multi-epitope vaccine against SARS-COV-2 by précised immune-informatics approaches. Informatics in Medicine Unlocked, 27 100781, 1-22. doi: 10.1016/j.imu.2021.100781

Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection

Chowdhury, Utpala Nanda, Faruqe, Md Omar, Mehedy, Md, Ahmad, Shamim, Islam, M. Babul, Shoombuatong, Watshara, Azad, A. K.M. and Moni, Mohammad Ali (2021). Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection. Computers in Biology and Medicine, 138 104891. doi: 10.1016/j.compbiomed.2021.104891

rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data

Shahjaman, Md., Rahman, Md. Rezanur, Islam, Tania, Auwul, Md. Rabiul, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2021). rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data. Computers in Biology and Medicine, 138 104911, 104911. doi: 10.1016/j.compbiomed.2021.104911

Global, regional, and national mortality among young people aged 10-24 years, 1950-2019: a systematic analysis for the Global Burden of Disease Study 2019

Ward, Joseph L., Azzopardi, Peter S., Francis, Kate Louise, Santelli, John S., Skirbekk, Vegard, Sawyer, Susan M., Kassebaum, Nicholas J., Mokdad, Ali H., Hay, Simon I., Abd-Allah, Foad, Abdoli, Amir, Abdollahi, Mohammad, Abedi, Aidin, Abolhassani, Hassan, Abreu, Lucas Guimaraes, Abrigo, Michael R. M., Abu-Gharbieh, Eman, Abushouk, Abdelrahman I., Adebayo, Oladimeji M., Adekanmbi, Victor, Adham, Davoud, Advani, Shailesh M., Afshari, Khashayar, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmed, Anwar E., Aji, Budi, Akombi-Inyang, Blessing ... Viner, Russell M. (2021). Global, regional, and national mortality among young people aged 10-24 years, 1950-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet, 398 (10311), 1593-1618.

Intelligent type 2 diabetes risk prediction from administrative claim data

Uddin, Shahadat, Imam, Tasadduq, Hossain, Md Ekramul, Gide, Ergun, Sianaki, Omid Ameri, Moni, Mohammad Ali, Mohammed, Ashwaq Amer and Vandana, Vandana (2021). Intelligent type 2 diabetes risk prediction from administrative claim data. Informatics for Health and Social Care, 47 (3), 1-15. doi: 10.1080/17538157.2021.1988957

Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050

Global Burden of Disease 2020 Health Financing Collaborator Network, Wubishet, Befikadu and Moni, Mohammad Ali (2021). Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050. Lancet, 398 (10308), 1317-1343. doi: 10.1016/S0140-6736(21)01258-7

Global, regional, and national burden of stroke and its risk factors, 1990-2019: A systematic analysis for the Global Burden of Disease Study 2019

Feigin, Valery L., Stark, Benjamin A., Johnson, Catherine Owens, Roth, Gregory A., Bisignano, Catherine, Abady, Gdiom Gebreheat, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd-Allah, Foad, Abedi, Vida, Abualhasan, Ahmed, Abu-Rmeileh, Niveen M.E., Abushouk, Abdelrahman I., Adebayo, Oladimeji M., Agarwal, Gina, Agasthi, Pradyumna, Ahinkorah, Bright Opoku, Ahmad, Sohail, Ahmadi, Sepideh, Salih, Yusra Ahmed, Aji, Budi, Akbarpour, Samaneh, Akinyemi, Rufus Olusola, Al Hamad, Hanadi, Alahdab, Fares, Alif, Sheikh Mohammad, Alipour, Vahid, Aljunid, Syed Mohamed, Almustanyir, Sami ... Murray, Christopher J.L. (2021). Global, regional, and national burden of stroke and its risk factors, 1990-2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 20 (10), 1-26. doi: 10.1016/S1474-4422(21)00252-0

Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990-2019, for 204 countries and territories: the Global Burden of Diseases Study 2019

GBD 2019 HIV Collaborators, Sinshaw, Aklilu and Moni, Mohammad Ali (2021). Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990-2019, for 204 countries and territories: the Global Burden of Diseases Study 2019. The Lancet HIV, 8 (10), e633-e651. doi: 10.1016/S2352-3018(21)00152-1

Network-based transcriptomic analysis identifies the genetic effect of COVID-19 to chronic kidney disease patients: a bioinformatics approach

Auwul, Md. Rabiul, Zhang, Chongqi, Rahman, Md Rezanur, Shahjaman, Md., Alyami, Salem A. and Moni, Mohammad Ali (2021). Network-based transcriptomic analysis identifies the genetic effect of COVID-19 to chronic kidney disease patients: a bioinformatics approach. Saudi Journal of Biological Sciences, 28 (10), 5647-5656. doi: 10.1016/j.sjbs.2021.06.015

Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline

Islam, Md Nahidul, Sulaiman, Norizam, Farid, Fahmid Al, Uddin, Jia, Alyami, Salem A., Rashid, Mamunur, Majeed, Anwar P. P. Abdul and Moni, Mohammad Ali (2021). Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline. PeerJ Computer Science, 7 e638, 1-28. doi: 10.7717/peerj-cs.638

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

GBD 2019 Under-5 Mortality Collaborators, Mamun, Abdullah A., Lalloo, Ratilal, Anderlini, Deanna, McGrath, John, Uddin, Riaz and Moni, Mohammad Ali (2021). Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019. The Lancet, 398 (10303), 870-905. doi: 10.1016/S0140-6736(21)01207-1

Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19

Auwul, Md Rabiul, Rahman, Md Rezanur, Gov, Esra, Shahjaman, Md and Moni, Mohammad Ali (2021). Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19. Briefings in Bioinformatics, 22 (5) bbab120. doi: 10.1093/bib/bbab120

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression

Rahman, Md Habibur, Rana, Humayan Kabir, Peng, Silong, Hu, Xiyuan, Chen, Chen, Quinn, Julian M. W and Moni, Mohammad Ali (2021). Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression. Briefings in Bioinformatics, 22 (5) bbaa365. doi: 10.1093/bib/bbaa365

Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients

Mahmud, S. M. Hasan, Al-Mustanjid, Md, Akter, Farzana, Rahman, Md Shazzadur, Ahmed, Kawsar, Rahman, Md Habibur, Chen, Wenyu and Moni, Mohammad Ali (2021). Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients. Briefings in Bioinformatics, 22 (5) bbab115. doi: 10.1093/bib/bbab115

Covid-19 pandemic outbreak in the subcontinent: A data driven analysis

Singh, Bikash Chandra, Alom, Zulfikar, Hu, Haibo, Rahman, Mohammad Muntasir, Baowaly, Mrinal Kanti, Aung, Zeyar, Azim, Mohammad Abdul and Moni, Mohammad Ali (2021). Covid-19 pandemic outbreak in the subcontinent: A data driven analysis. Journal of Personalized Medicine, 11 (9) 889. doi: 10.3390/jpm11090889

EEG channel correlation based model for emotion recognition

Islam, Md. Rabiul, Islam, Md. Milon, Rahman, Md. Mustafizur, Mondal, Chayan, Singha, Suvojit Kumar, Ahmad, Mohiuddin, Awal, Abdul, Islam, Md. Saiful and Moni, Mohammad Ali (2021). EEG channel correlation based model for emotion recognition. Computers in Biology and Medicine, 136 104757, 104757. doi: 10.1016/j.compbiomed.2021.104757

Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison

Ali, Md Mamun, Paul, Bikash Kumar, Ahmed, Kawsar, Bui, Francis M., Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison. Computers in Biology and Medicine, 136 104672, 104672. doi: 10.1016/j.compbiomed.2021.104672

Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes

Islam, M. Babul, Chowdhury, Utpala Nanda, Nain, Zulkar, Uddin, Shahadat, Ahmed, Mohammad Boshir and Moni, Mohammad Ali (2021). Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Computers in Biology and Medicine, 136 104668, 104668. doi: 10.1016/j.compbiomed.2021.104668

PreDTIs: Prediction of drug-Target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques

Mahmud, S. M. Hasan, Chen, Wenyu, Liu, Yongsheng, Awal, Md Abdul, Ahmed, Kawsar, Rahman, Md Habibur and Moni, Mohammad Ali (2021). PreDTIs: Prediction of drug-Target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. Briefings in Bioinformatics, 22 (5) bbab046. doi: 10.1093/bib/bbab046

Recognition of human emotions using EEG signals: A review

Rahman, Md. Mustafizur, Sarkar, Ajay Krishno, Hossain, Md. Amzad, Hossain, Md. Selim, Islam, Md. Rabiul, Hossain, Md. Biplob, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Recognition of human emotions using EEG signals: A review. Computers in Biology and Medicine, 136 104696, 104696. doi: 10.1016/j.compbiomed.2021.104696

COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing

Hasan, Md. Kamrul, Jawad, Md. Tasnim, Hasan, Kazi Nasim Imtiaz, Partha, Sajal Basak, Masba, Md. Masum Al, Saha, Shumit and Moni, Mohammad Ali (2021). COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing. Informatics in Medicine Unlocked, 26 100709, 100709. doi: 10.1016/j.imu.2021.100709

Ibitter‐fuse: a novel sequence‐based bitter peptide predictor by fusing multi‐view features

Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md. Mehedi, Moni, Mohammad Ali, Lio, Pietro and Shoombuatong, Watshara (2021). Ibitter‐fuse: a novel sequence‐based bitter peptide predictor by fusing multi‐view features. International Journal of Molecular Sciences, 22 (16) 8958. doi: 10.3390/ijms22168958

TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets

Satu, Md. Shahriare, Khan, Md. Imran, Mahmud, Mufti, Uddin, Shahadat, Summers, Matthew A., Quinn, Julian M.W. and Moni, Mohammad Ali (2021). TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowledge-Based Systems, 226 107126, 107126. doi: 10.1016/j.knosys.2021.107126

Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study

Nichols, Emma, Abd-Allah, Foad, Abdoli, Amir, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Afshin, Ashkan, Akinyemi, Rufus Olusola, Alanezi, Fahad Mashhour, Alipour, Vahid, Almasi-Hashiani, Amir, Arabloo, Jalal, Ashraf-Ganjouei, Amir, Ayano, Getinet, Ayuso-Mateos, Jose L., Baig, Atif Amin, Banach, Maciej, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Baune, Bernhard T., Bhagavathula, Akshaya Srikanth, Bhattacharyya, Krittika, Bijani, Ali, Biswas, Atanu, Boloor, Archith, Brayne, Carol, Brenner, Hermann, Burkart, Katrin, Burugina Nagaraja, Sharath, Carvalho, Felix ... Vos, Theo (2021). Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study. BMC Medical Informatics and Decision Making, 21 (1) 241. doi: 10.1186/s12911-021-01590-y

Measuring routine childhood vaccination coverage in 204 countries and territories, 1980–2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1

Galles, Natalie C, Liu, Patrick Y, Updike, Rachel L, Fullman, Nancy, Nguyen, Jason, Rolfe, Sam, Sbarra, Alyssa N, Schipp, Megan F, Marks, Ashley, Abady, Gdiom Gebreheat, Abbas, Kaja M, Abbasi, Sumra Wajid, Abbastabar, Hedayat, Abd-Allah, Foad, Abdoli, Amir, Abolhassani, Hassan, Abosetugn, Akine Eshete, Adabi, Maryam, Adamu, Abdu A, Adetokunboh, Olatunji O, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afzal, Saira, Aghamir, Seyed Mohammad Kazem, Ahinkorah, Bright Opoku, Ahmad, Sohail, Ahmad, Tauseef, Ahmadi, Sepideh, Ahmed, Haroon ... Yuce, D. (2021). Measuring routine childhood vaccination coverage in 204 countries and territories, 1980–2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1. The Lancet, 398 (10299), 503-521. doi: 10.1016/S0140-6736(21)00984-3

Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer

Hossain, Md Jakir, Chowdhury, Utpala Nanda, Islam, M. Babul, Uddin, Shahadat, Ahmed, Mohammad Boshir, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Computers in Biology and Medicine, 135 104539. doi: 10.1016/j.compbiomed.2021.104539

Machine learning approaches to identify patient comorbidities and symptoms that increased risk of mortality in covid-19

Aktar, Sakifa, Talukder, Ashis, Ahamad, Md. Martuza, Kamal, A. H.M., Khan, Jahidur Rahman, Protikuzzaman, Md., Hossain, Nasif, Azad, A. K.M., Quinn, Julian M. W., Summers, Mathew A., Liaw, Teng, Eapen, Valsamma and Moni, Mohammad Ali (2021). Machine learning approaches to identify patient comorbidities and symptoms that increased risk of mortality in covid-19. Diagnostics, 11 (8) 1383. doi: 10.3390/diagnostics11081383

Promising anticancer activity of [bis(1,8‐quinolato)palladium (ii)] alone and in combination

Alam, Md Nur, Moni, Mohammad Ali, Yu, Jun Q., Beale, Philip, Turner, Peter, Proschogo, Nick, Rahman, Mohammad Azizur, Hossain, M. Pear and Huq, Fazlul (2021). Promising anticancer activity of [bis(1,8‐quinolato)palladium (ii)] alone and in combination. International Journal of Molecular Sciences, 22 (16) 8471, 8471. doi: 10.3390/ijms22168471

Designing a multi-epitope vaccine candidate to combat MERS-CoV by employing an immunoinformatics approach

Mahmud, Shafi, Rafi, Md. Oliullah, Paul, Gobindo Kumar, Promi, Maria Meha, Shimu, Mst. Sharmin Sultana, Biswas, Suvro, Emran, Talha Bin, Dhama, Kuldeep, Alyami, Salem A., Moni, Mohammad Ali and Saleh, Md. Abu (2021). Designing a multi-epitope vaccine candidate to combat MERS-CoV by employing an immunoinformatics approach. Scientific Reports, 11 (1) 15431, 1-20. doi: 10.1038/s41598-021-92176-1

C-C Chemokine receptor-like 2 (CCRL2) acts as coreceptor for human immunodeficiency virus-2

Islam, Salequl, Moni, Mohammad Ali, Urmi, Umme Laila, Tanaka, Atsushi and Hoshino, Hiroo (2021). C-C Chemokine receptor-like 2 (CCRL2) acts as coreceptor for human immunodeficiency virus-2. Briefings in Bioinformatics, 22 (4). doi: 10.1093/bib/bbaa333

SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals

Mashrur, Fazla Rabbi, Islam, Md. Saiful, Saha, Dabasish Kumar, Islam, S.M. Riazul and Moni, Mohammad Ali (2021). SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals. Computers in Biology and Medicine, 134 104532, 104532. doi: 10.1016/j.compbiomed.2021.104532

Structural and functional elucidation of IF-3 protein of Chloroflexus aurantiacus involved in protein biosynthesis: an In Silico approach

Saikat, Abu Saim Mohammad, Uddin, Md. Ekhlas, Ahmad, Tasnim, Mahmud, Shahriar, Imran, Md. Abu Sayeed, Ahmed, Sohel, Alyami, Salem A. and Moni, Mohammad Ali (2021). Structural and functional elucidation of IF-3 protein of Chloroflexus aurantiacus involved in protein biosynthesis: an In Silico approach. BioMed Research International, 2021 9050026, 1-10. doi: 10.1155/2021/9050026

A human-robot interaction system calculating visual focus of human’s attention level

Chakraborty, Partha, Ahmed, Sabbir, Yousuf, Mohammad Abu, Azad, Akm, Alyami, Salem A. and Moni, Mohammad Ali (2021). A human-robot interaction system calculating visual focus of human’s attention level. IEEE Access, 9 9462086, 93409-93421. doi: 10.1109/access.2021.3091642

Emotion recognition from EEG signal focusing on deep learning and shallow learning techniques

Islam, Md. Rabiul, Moni, Mohammad Ali, Islam, Md. Milon, Rashed-Al-Mahfuz, Md., Islam, Md. Saiful, Hasan, Md. Kamrul, Hossain, Md. Sabir, Ahmad, Mohiuddin, Uddin, Shahadat, Azad, Akm, Alyami, Salem A., Ahad, Md. Atiqur Rahman and Lio, Pietro (2021). Emotion recognition from EEG signal focusing on deep learning and shallow learning techniques. IEEE Access, 9 9462089, 94601-94624. doi: 10.1109/access.2021.3091487

Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

Reitsma, Marissa B, Kendrick, Parkes J, Ababneh, Emad, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdoli, Amir, Abedi, Aidin, Abhilash, E. S., Abila, Derrick Bary, Aboyans, Victor, Abu-Rmeileh, Niveen ME, Adebayo, Oladimeji M, Advani, Shailesh M, Aghaali, Mohammad, Ahinkorah, Bright Opoku, Ahmad, Sohail, Ahmadi, Keivan, Ahmed, Haroon, Aji, Budi, Akunna, Chisom Joyqueenet, Al-Aly, Ziyad, Alanzi, Turki M, Alhabib, Khalid F, Ali, Liaqat, Alif, Sheikh Mohammad, Alipour, Vahid, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter ... Zuniga, Y. H. (2021). Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019. The Lancet, 397 (10292), 2337-2360. doi: 10.1016/S0140-6736(21)01169-7

Significant pathway and biomarker identification of pancreatic cancer associated lung cancer

Khan, Tamanna, Paul, Bikash Kumar, Hasan, Md Tanvir, Islam, Md Rakib, Arefin, M. A., Ahmed, K., Islam, Md K. and Moni, Mohammad Ali (2021). Significant pathway and biomarker identification of pancreatic cancer associated lung cancer. Informatics in Medicine Unlocked, 25 100637, 1-8. doi: 10.1016/j.imu.2021.100637

Public health utility of cause of death data: applying empirical algorithms to improve data quality

Johnson, Sarah Charlotte, Cunningham, Matthew, Dippenaar, Ilse N., Sharara, Fablina, Wool, Eve E., Agesa, Kareha M., Han, Chieh, Miller-Petrie, Molly K., Wilson, Shadrach, Fuller, John E., Balassyano, Shelly, Bertolacci, Gregory J., Davis Weaver, Nicole, Arabloo, Jalal, Badawi, Alaa, Bhagavathula, Akshaya Srikanth, Burkart, Katrin, Cámera, Luis Alberto, Carvalho, Felix, Castañeda-Orjuela, Carlos A., Choi, Jee-Young Jasmine, Chu, Dinh-Toi, Dai, Xiaochen, Dianatinasab, Mostafa, Emmons-Bell, Sophia, Fernandes, Eduarda, Fischer, Florian, Ghashghaee, Ahmad, Golechha, Mahaveer ... Naghavi, Mohsen (2021). Public health utility of cause of death data: applying empirical algorithms to improve data quality. BMC Medical Informatics and Decision Making, 21 (1) 175. doi: 10.1186/s12911-021-01501-1

Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions

Nain, Zulkar, Barman, Shital K, Sheam, Md Moinuddin, Syed, Shifath Bin, Samad, Abdus, Quinn, Julian M W, Karim, Mohammad Minnatul, Himel, Mahbubul Kabir, Roy, Rajib Kanti, Moni, Mohammad Ali and Biswas, Sudhangshu Kumar (2021). Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions. Briefings in Bioinformatics, 22 (6) bbab197. doi: 10.1093/bib/bbab197

COVID-19 patient transcriptomic and genomic profiling reveals comorbidity interactions with psychiatric disorders

Moni, Mohammad Ali, Lin, Ping-I, Quinn, Julian M. W. and Eapen, Valsamma (2021). COVID-19 patient transcriptomic and genomic profiling reveals comorbidity interactions with psychiatric disorders. Translational Psychiatry, 11 (1) 160, 1-13. doi: 10.1038/s41398-020-01151-3

Healthcare seeking behavior and glycemic control in patients with type 2 diabetes attending a tertiary hospital

Islam, Sheikh Mohammed Shariful, Uddin, Riaz, Zaman, Sojib Bin, Biswas, Tuhin, Tansi, Tania, Chegini, Zahra, Moni, Mohammad Ali, Niessen, Louis and Naheed, Aliya (2021). Healthcare seeking behavior and glycemic control in patients with type 2 diabetes attending a tertiary hospital. International Journal of Diabetes in Developing Countries, 41 (2), 280-287. doi: 10.1007/s13410-020-00875-8

Lung cancer detection using enhanced segmentation accuracy

Akter, Onika, Moni, Mohammad Ali, Islam, Mohammad Mahfuzul, Quinn, Julian M. W. and Kamal, A. H.M. (2021). Lung cancer detection using enhanced segmentation accuracy. Applied Intelligence, 51 (6), 3391-3404. doi: 10.1007/s10489-020-02046-y

Improved transfer-learning-based facial recognition framework to detect autistic children at an early stage

Akter, Tania, Ali, Mohammad Hanif, Khan, Md. Imran, Satu, Md. Shahriare, Uddin, Md. Jamal, Alyami, Salem A., Ali, Sarwar, Azad, AKM and Moni, Mohammad Ali (2021). Improved transfer-learning-based facial recognition framework to detect autistic children at an early stage. Brain Sciences, 11 (6) 734. doi: 10.3390/brainsci11060734

Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

GBD 2019 Chewing Tobacco Collaborators, Wubishet, Befikadu Legesse, Mamun, Abdullah A. and Moni, Mohammad Ali (2021). Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. The Lancet Public health, 6 (7), e482-e499. doi: 10.1016/S2468-2667(21)00065-7

Identifying subgroups of patients with autism by gene expression profiles using machine learning algorithms

Lin, Ping-I, Moni, Mohammad Ali, Gau, Susan Shur-Fen and Eapen, Valsamma (2021). Identifying subgroups of patients with autism by gene expression profiles using machine learning algorithms. Frontiers in Psychiatry, 12 637022. doi: 10.3389/fpsyt.2021.637022

Short-term prediction of COVID-19 cases using machine learning models

Satu, Md. Shahriare, Howlader, Koushik Chandra, Mahmud, Mufti, Kaiser, M. Shamim, Shariful Islam, Sheikh Mohammad, Quinn, Julian M. W., Alyami, Salem A. and Moni, Mohammad Ali (2021). Short-term prediction of COVID-19 cases using machine learning models. Applied Sciences, 11 (9) 4266. doi: 10.3390/app11094266

Diverse immunological factors influencing pathogenesis in patients with COVID-19: a review on viral dissemination, immunotherapeutic options to counter cytokine storm and inflammatory responses

Rabaan, Ali A., Al-Ahmed, Shamsah H., Garout, Mohammed A., Al-Qaaneh, Ayman M., Sule, Anupam A, Tirupathi, Raghavendra, Mutair, Abbas Al, Alhumaid, Saad, Hasan, Abdulkarim, Dhawan, Manish, Tiwari, Ruchi, Sharun, Khan, Mohapatra, Ranjan K., Mitra, Saikat, Emran, Talha Bin, Bilal, Muhammad, Singh, Rajendra, Alyami, Salem A., Moni, Mohammad Ali and Dhama, Kuldeep (2021). Diverse immunological factors influencing pathogenesis in patients with COVID-19: a review on viral dissemination, immunotherapeutic options to counter cytokine storm and inflammatory responses. Pathogens, 10 (5) 565. doi: 10.3390/pathogens10050565

System biology and bioinformatics pipeline to identify comorbidities risk association: neurodegenerative disorder case study

Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul, Alyami, Salem A., Quinn, Julian M. W., Eapen, Valsamma and Moni, Mohammad Ali (2021). System biology and bioinformatics pipeline to identify comorbidities risk association: neurodegenerative disorder case study. PLoS One, 16 (5) e0250660. doi: 10.1371/journal.pone.0250660

Vulnerability in deep transfer learning models to adversarial fast gradient sign attack for covid-19 prediction from chest radiography images

Pal, Biprodip, Gupta, Debashis, Rashed-Al-mahfuz, Md., Alyami, Salem A. and Moni, Mohammad Ali (2021). Vulnerability in deep transfer learning models to adversarial fast gradient sign attack for covid-19 prediction from chest radiography images. Applied Sciences, 11 (9) 4233. doi: 10.3390/app11094233

Integrative systems biology approaches to identify potential biomarkers and pathways of cervical cancer

Oany, Arafat Rahman, Mia, Mamun, Pervin, Tahmina, Alyami, Salem Ali and Moni, Mohammad Ali (2021). Integrative systems biology approaches to identify potential biomarkers and pathways of cervical cancer. Journal of Personalized Medicine, 11 (5) 363. doi: 10.3390/jpm11050363

Role of inflammatory cytokines in COVID-19 patients: a review on molecular mechanisms, immune functions, immunopathology and immunomodulatory drugs to counter cytokine storm

Rabaan, Ali A., Al-Ahmed, Shamsah H., Muhammad, Javed, Khan, Amjad, Sule, Anupam A, Tirupathi, Raghavendra, Mutair, Abbas Al, Alhumaid, Saad, Al-Omari, Awad, Dhawan, Manish, Tiwari, Ruchi, Sharun, Khan, Mohapatra, Ranjan K., Mitra, Saikat, Bilal, Muhammad, Alyami, Salem A., Emran, Talha Bin, Moni, Mohammad Ali and Dhama, Kuldeep (2021). Role of inflammatory cytokines in COVID-19 patients: a review on molecular mechanisms, immune functions, immunopathology and immunomodulatory drugs to counter cytokine storm. Vaccines, 9 (5) 436. doi: 10.3390/vaccines9050436

Machine learning approach to predicting COVID-19 disease severity based on clinical blood test data: Statistical analysis and model development

Aktar, Sakifa, Ahamad, Md Martuza, Rashed-Al-Mahfuz, Md, Azad, A. K.M., Uddin, Shahadat, Kamal, A. H.M., Alyami, Salem A., Lin, Ping-I., Islam, Sheikh Mohammed Shariful, Quinn, Julian M.W., Eapen, Valsamma and Moni, Mohammad Ali (2021). Machine learning approach to predicting COVID-19 disease severity based on clinical blood test data: Statistical analysis and model development. JMIR Medical Informatics, 9 (4) e25884, e25884. doi: 10.2196/25884

A comparative analysis of active learning for biomedical text mining

Naseem, Usman, Khushi, Matloob, Khan, Shah Khalid, Shaukat, Kamran and Moni, Mohammad Ali (2021). A comparative analysis of active learning for biomedical text mining. Applied System Innovation, 4 (1) 23. doi: 10.3390/asi4010023

Hearing loss prevalence and years lived with disability, 1990-2019: findings from the Global Burden of Disease Study 2019

Haile, Lydia M., Kamenov, Kaloyan, Briant, Paul Svitil, Orji, Aislyn U., Steinmetz, Jaimie D., Abdoli, Amir, Abdollahi, Mohammad, Abu-Gharbieh, Eman, Afshin, Ashkan, Ahmed, Haroon, Rashid, Tarik Ahmed, Akalu, Yonas, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M., Al Hamad, Hanadi, Ali, Liaqat, Alipour, Vahid, Al-Raddadi, Rajaa M., Amu, Hubert, Arabloo, Jalal, Arab-Zozani, Morteza, Arulappan, Judie, Ashbaugh, Charlie, Atnafu, Desta Debalkie, Babar, Zaheer-Ud-Din, Baig, Atif Amin, Banik, Palash Chandra, Bärnighausen, Till Winfried ... Chadha, Shelly (2021). Hearing loss prevalence and years lived with disability, 1990-2019: findings from the Global Burden of Disease Study 2019. The Lancet, 397 (10278), 996-1009. doi: 10.1016/S0140-6736(21)00516-X

PredNTS: improved and robust prediction of nitrotyrosine sites by integrating multiple sequence features

Nilamyani, Andi Nur, Auliah, Firda Nurul, Moni, Mohammad Ali, Shoombuatong, Watshara, Hasan, Md Mehedi and Kurata, Hiroyuki (2021). PredNTS: improved and robust prediction of nitrotyrosine sites by integrating multiple sequence features. International Journal of Molecular Sciences, 22 (5) 2704, 1-11. doi: 10.3390/ijms22052704

Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities

Nashiry, Asif, Sarmin Sumi, Shauli, Islam, Salequl, Quinn, Julian M. W and Moni, Mohammad Ali (2021). Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities. Briefings in Bioinformatics, 22 (2), 1387-1401. doi: 10.1093/bib/bbaa426

Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases

Satu, Shahriare, Khan, Imran, Rahman, Rezanur, Howlader, Koushik Chandra, Roy, Shatabdi, Roy, Shuvo Saha, Quinn, Julian M. W and Moni, Mohammad Ali (2021). Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases. Briefings in Bioinformatics, 22 (2), 1415-1429. doi: 10.1093/bib/bbab003

Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients

Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Kawsar, Md, Aktar, Nargis, Mahmud, S. M. Hasan and Moni, Mohammad Ali (2021). Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients. Briefings in Bioinformatics, 22 (2), 1254-1266. doi: 10.1093/bib/bbaa235

Pharmacoinformatics based elucidation and designing of potential inhibitors against Plasmodium falciparum to target importin α/β mediated nuclear importation

Oany, Arafat Rahman, Pervin, Tahmina and Moni, Mohammad Ali (2021). Pharmacoinformatics based elucidation and designing of potential inhibitors against Plasmodium falciparum to target importin α/β mediated nuclear importation. Infection, Genetics and Evolution, 88 104699, 104699. doi: 10.1016/j.meegid.2020.104699

Use of electronic health data for disease prediction: a comprehensive literature review

Hossain, Md. Ekramul, Khan, Arif, Moni, Mohammad Ali and Uddin, Shahadat (2021). Use of electronic health data for disease prediction: a comprehensive literature review. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (2) 8815739, 745-758. doi: 10.1109/tcbb.2019.2937862

Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients

Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Al-Zahrani, Fahad Ahmed, Mahmud, S M Hasan and Moni, Mohammad Ali (2021). Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients. Briefings in Bioinformatics, 22 (2), 1451-1465. doi: 10.1093/bib/bbab026

Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions

Rashed-Al-Mahfuz, Md., Moni, Mohammad Ali, Lio’, Pietro, Islam, Sheikh Mohammed Shariful, Berkovsky, Shlomo, Khushi, Matloob and Quinn, Julian M. W. (2021). Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions. Biomedical Engineering Letters, 11 (2), 147-162. doi: 10.1007/s13534-021-00185-w

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study

Bourne, Rupert R.A., Steinmetz, Jaimie D., Saylan, Mete, Mersha, Abera M., Weldemariam, Abrha Hailay, Wondmeneh, Temesgen Gebeyehu, Sreeramareddy, Chandrashekhar T., Pinheiro, Marina, Yaseri, Mehdi, Yu, Chuanhua, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zimsen, Stephanie R.M., Yonemoto, Naohiro, Tsegaye, Gebiyaw Wudie, Vu, Giang Thu, Vongpradith, Avina, Renzaho, Andre M.N., Sorrie, Muluken Bekele, Shaheen, Amira A., Shiferaw, Wondimeneh Shibabaw, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Saya, Ganesh Kumar, Rahimi-Movaghar, Vafa, Shigematsu, Mika, Sahraian, Mohammad Ali, Naderifar, Homa ... GBD 2019 Blindness and Vision Impairment Collaborators on behalf of the Vision Loss Expert Group of the Global Burden of Disease Study (2021). Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study. The Lancet Global Health, 9 (2), e144-e160. doi: 10.1016/S2214-109X(20)30489-7

Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus

Khan, Md. Shakil Ahmed, Nain, Zulkar, Syed, Shifath Bin, Abdulla, Faruq, Moni, Mohammad Ali, Sheam, Md. Moinuddin, Karim, Mohammad Minnatul and Adhikari, Utpal Kumar (2021). Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus. Molecular and Cellular Probes, 55 101693. doi: 10.1016/j.mcp.2020.101693

Identification of common pathogenetic processes between schizophrenia and diabetes mellitus by systems biology analysis

Rahman, Md Rezanur, Islam, Tania, Nicoletti, Ferdinando, Petralia, Maria Cristina, Ciurleo, Rosella, Fisicaro, Francesco, Pennisi, Manuela, Bramanti, Alessia, Demirtas, Talip Yasir, Gov, Esra, Islam, Md Rafiqul, Mussa, Bashair M., Moni, Mohammad Ali and Fagone, Paolo (2021). Identification of common pathogenetic processes between schizophrenia and diabetes mellitus by systems biology analysis. Genes, 12 (2) 237, 1-14. doi: 10.3390/genes12020237

Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis

Rahman, Md Rezanur, Islam, Tania, Gov, Esra, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis. Experimental Results, 2 e9, 1-13. doi: 10.1017/exp.2020.65

Onslaught of COVID-19: How did governments react and at what point of the crisis?

Uddin, Shahadat, Imam, Tasadduq, Moni, Mohammad Ali and Thow, Anne-Marie (2021). Onslaught of COVID-19: How did governments react and at what point of the crisis?. Population Health Management, 24 (1), 13-19. doi: 10.1089/pop.2020.0138

Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy

Ezaj, Md. Muzahid Ahmed, Junaid, Md., Akter, Yeasmin, Nahrin, Afsana, Siddika, Aysha, Afrose, Syeda Samira, Nayeem, S. M. Abdul, Haque, Md. Sajedul, Moni, Mohammad Ali and Hosen, S. M. Zahid (2021). Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy. Journal of Biomolecular Structure and Dynamics, 40 (14), 1-26. doi: 10.1080/07391102.2021.1886171

A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2

Chowdhury, Umar Faruq, Sharif Shohan, Mohammad Umer, Hoque, Kazi Injamamul, Beg, Mirza Ashikul, Sharif Siam, Mohammad Kawsar and Moni, Mohammad Ali (2021). A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2. Genomics, 113 (1 Part 1), 331-343. doi: 10.1016/j.ygeno.2020.12.021

A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data

Rashed-Al-Mahfuz, Md., Moni, Mohammad Ali, Uddin, Shahadat, Alyami, Salem A., Summers, Matthew A. and Eapen, Valsamma (2021). A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data. IEEE Journal of Translational Engineering in Health and Medicine, 9 9319690, 1-12. doi: 10.1109/jtehm.2021.3050925

Attribute driven temporal active online community search

Das, Badhan Chandra, Anwar, Md. Musfique, Bhuiyan, Md. Al-Amin, Sarker, Iqbal H., Alyami, Salem A. and Moni, Mohammad Ali (2021). Attribute driven temporal active online community search. IEEE Access, 9, 93976-93989. doi: 10.1109/access.2021.3093368

Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening

Rashed-Al-Mahfuz, Md., Haque, Abedul, Azad, Akm, Alyami, Salem A., Quinn, Julian M. W. and Moni, Mohammad Ali (2021). Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening. IEEE Journal of Translational Engineering in Health and Medicine, 9 4900511, 1-11. doi: 10.1109/jtehm.2021.3073629

Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images

Mondal, Chayan, Hasan, Md. Kamrul, Ahmad, Mohiuddin, Awal, Md. Abdul, Jawad, Md. Tasnim, Dutta, Aishwariya, Islam, Md. Rabiul and Moni, Mohammad Ali (2021). Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images. Informatics in Medicine Unlocked, 27 100794, 100794. doi: 10.1016/j.imu.2021.100794

Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease

Rahman, Md Rezanur, Islam, Tania, Shahjaman, Md, Rana, Md Humayun Kabir, Holsinger, R. M. Damian, Quinn, Julian M. W., Gov, Esra and Moni, Mohammad Ali (2021). Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease. Biointerface Research in Applied Chemistry, 11 (2), 8686-8701. doi: 10.33263/BRIAC112.86868701

Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease

Moni, Mohammad Ali, Quinn, Julian M. W., Sinmaz, Nese and Summers, Matthew A. (2020). Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease. Briefings in Bioinformatics, 22 (2), 1324-1337. doi: 10.1093/bib/bbaa376

A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients

Ahamad, Md. Martuza, Aktar, Sakifa, Rashed-Al-Mahfuz, Md., Uddin, Shahadat, Liò, Pietro, Xu, Haoming, Summers, Matthew A., Quinn, Julian M.W. and Moni, Mohammad Ali (2020). A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Systems with Applications, 160 113661. doi: 10.1016/j.eswa.2020.113661

A system biological approach to investigate the genetic profiling and comorbidities of type 2 diabetes

Podder, Nitun Kumar, Rana, Humayan Kabir, Azam, Md. Shafiul, Rana, Md. Shohel, Akhtar, Mst. Rashida, Rahman, Md Rezanur, Rahman, Md Habibur and Moni, Mohammad Ali (2020). A system biological approach to investigate the genetic profiling and comorbidities of type 2 diabetes. Gene Reports, 21 100830, 1-13. doi: 10.1016/j.genrep.2020.100830

Design of novel viral attachment inhibitors of the spike glycoprotein (S) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) through virtual screening and dynamics

Oany, Arafat Rahman, Mia, Mamun, Pervin, Tahmina, Junaid, Md., Hosen, S. M. Zahid and Moni, Mohammad Ali (2020). Design of novel viral attachment inhibitors of the spike glycoprotein (S) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) through virtual screening and dynamics. International Journal of Antimicrobial Agents, 56 (6) 106177, 106177. doi: 10.1016/j.ijantimicag.2020.106177

Machine learning and bioinformatics models to identify pathways that mediate influences of welding fumes on cancer progression

Rana, Humayan Kabir, Akhtar, Mst. Rashida, Islam, M. Babul, Ahmed, Mohammad Boshir, Lió, Pietro, Huq, Fazlul, Quinn, Julian M. W. and Moni, Mohammad Ali (2020). Machine learning and bioinformatics models to identify pathways that mediate influences of welding fumes on cancer progression. Scientific Reports, 10 (1) 2795, 2795. doi: 10.1038/s41598-020-57916-9

Zeolite synthesis from low-cost materials and environmental applications: a review

Khaleque, Abdul, Alam, Md Masruck, Hoque, Mozammel, Mondal, Shuvodip, Haider, Jahid Bin, Xu, Bentuo, Johir, M. A.H., Karmakar, Aneek Krishna, Zhou, J. L., Ahmed, Mohammad Boshir and Moni, Mohammad Ali (2020). Zeolite synthesis from low-cost materials and environmental applications: a review. Environmental Advances, 2 100019. doi: 10.1016/j.envadv.2020.100019

Analysis of topological properties and drug discovery for bipolar disorder and associated diseases: a bioinformatics approach

Shadhin, Khairul Alam, Hasan, Md. Rakibul, Paul, Bikash Kumar, Ahmed, Kawsar, Moni, Mohammad Ali, Kahrizi, Danial, Bhuyian, Touhid and Ibrahim, Sobhy M. (2020). Analysis of topological properties and drug discovery for bipolar disorder and associated diseases: a bioinformatics approach. Cellular and Molecular Biology, 66 (7), 152-160. doi: 10.14715/cmb/2020.66.7.23

Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approach

Al-Mustanjid, Md., Mahmud, S.M. Hasan, Royel, Md. Rejaul Islam, Rahman, Md. Habibur, Islam, Tania, Rahman, Md. Rezanur and Moni, Mohammad Ali (2020). Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approach. Genomics, 112 (5), 3416-3426. doi: 10.1016/j.ygeno.2020.06.001

Pathogenetic profiling of COVID-19 and SARS-like viruses

Nain, Zulkar, Rana, Humayan Kabir, Liò, Pietro, Islam, Sheikh Mohammed Shariful, Summers, Matthew A and Moni, Mohammad Ali (2020). Pathogenetic profiling of COVID-19 and SARS-like viruses. Briefings in Bioinformatics, 22 (2), 1175-1196. doi: 10.1093/bib/bbaa173

A systematic review of network studies based on administrative health data

Karim, Shakir, Uddin, Shahadat, Imam, Tasadduq and Moni, Mohammad Ali (2020). A systematic review of network studies based on administrative health data. International Journal of Environmental Research and Public Health, 17 (7) 2568. doi: 10.3390/ijerph17072568

Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from water

Ahmed, Mohammad Boshir, Alam, Md. Masruck, Zhou, John L., Xu, Bentuo, Johir, Md Abu Hasan, Karmakar, Aneek Krishna, Rahman, Md. Saifur, Hossen, Jewel, Hasan, A.T.M. Kamrul and Moni, Mohammad Ali (2020). Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from water. Process Safety and Environmental Protection, 136, 1-14. doi: 10.1016/j.psep.2020.01.005

Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana

Mosharaf, Md. Parvez, Hassan, Md. Mehedi, Ahmed, Fee Faysal, Khatun, Mst. Shamima, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2020). Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana. Computational Biology and Chemistry, 85 107238. doi: 10.1016/j.compbiolchem.2020.107238

Network-based computational approach to identify genetic links between cardiomyopathy and its risk factors

Haidar, M. Nasim, Islam, M. Babul, Chowdhury, Utpala Nanda, Rahman, M. Rezanur, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2020). Network-based computational approach to identify genetic links between cardiomyopathy and its risk factors. IET Systems Biology, 14 (2), 75-84. doi: 10.1049/iet-syb.2019.0074

Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective

Rahman, Md. Rezanur, Islam, Tania, Zaman, Toyfiquz, Shahjaman, Md., Karim, Md. Rezaul, Huq, Fazlul, Quinn, Julian M.W., Holsinger, R.M. Damian, Gov, Esra and Moni, Mohammad Ali (2020). Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective. Genomics, 112 (2), 1290-1299. doi: 10.1016/j.ygeno.2019.07.018

Network-based genetic profiling reveals cellular pathway differences between follicular thyroid carcinoma and follicular thyroid adenoma

Hossain, Md. Ali, Asa, Tania Akter, Rahman, Md. Mijanur, Uddin, Shahadat, Moustafa, Ahmed A., Quinn, Julian M. W. and Moni, Mohammad Ali (2020). Network-based genetic profiling reveals cellular pathway differences between follicular thyroid carcinoma and follicular thyroid adenoma. International Journal of Environmental Research and Public Health, 17 (4) 1373. doi: 10.3390/ijerph17041373

A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseases

Rahman, Md Habibur, Peng, Silong, Hu, Xiyuan, Chen, Chen, Rahman, Md Rezanur, Uddin, Shahadat, Quinn, Julian M. W. and Moni, Mohammad Ali (2020). A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseases. International Journal of Environmental Research and Public Health, 17 (3) 1035, 1-25. doi: 10.3390/ijerph17031035

A framework to understand the progression of cardiovascular disease for type 2 diabetes mellitus patients using a network approach

Hossain, Md Ekramul, Uddin, Shahadat, Khan, Arif and Moni, Mohammad Ali (2020). A framework to understand the progression of cardiovascular disease for type 2 diabetes mellitus patients using a network approach. International Journal of Environmental Research and Public Health, 17 (2) 596. doi: 10.3390/ijerph17020596

A systems biology approach to identifying genetic factors affected by aging, lifestyle factors, and type 2 diabetes that influences Parkinson's disease progression

Sakib, Najmus, Chowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). A systems biology approach to identifying genetic factors affected by aging, lifestyle factors, and type 2 diabetes that influences Parkinson's disease progression. Informatics in Medicine Unlocked, 21 100448. doi: 10.1016/j.imu.2020.100448

Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): a bioinformatics analysis

Islam, Md Rakibul, Ahmed, Md Liton, Kumar Paul, Bikash, Bhuiyan, Touhid, Ahmed, Kawsar and Moni, Mohammad Ali (2020). Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): a bioinformatics analysis. Informatics in Medicine Unlocked, 18 100304. doi: 10.1016/j.imu.2020.100304

Network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone and joints

Moni, Mohammad Ali, Islam, M. Babul, Rahman, Md Rezanur, Rashed-Al-Mahfuz, Md, Awal, Md Abdul, Islam, Sheikh Mohammed Shariful, Mollah, Md. Nurul Haque and Quinn, Julian M. W. (2020). Network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone and joints. IEEE Access, 8 8941110, 1486-1497. doi: 10.1109/ACCESS.2019.2962091

Network-based identification of genetic factors in ageing, lifestyle and type 2 diabetes that influence to the progression of Alzheimer's disease

Chowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). Network-based identification of genetic factors in ageing, lifestyle and type 2 diabetes that influence to the progression of Alzheimer's disease. Informatics in Medicine Unlocked, 19 100309. doi: 10.1016/j.imu.2020.100309

Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's disease

Chowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's disease. Informatics in Medicine Unlocked, 21 100439. doi: 10.1016/j.imu.2020.100439

Comparing different supervised machine learning algorithms for disease prediction

Uddin, Shahadat, Khan, Arif, Hossain, Md Ekramul and Moni, Mohammad Ali (2019). Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics and Decision Making, 19 (1) 281. doi: 10.1186/s12911-019-1004-8

Bioinformatics methodologies to identify interactions between Type 2 diabetes and neurological comorbidities

Rahman, Md Habibur, Peng, Silong, Hu, Xiyuan, Chen, Chen, Uddin, Shahadat, Quinn, Julian M. W. and Moni, Mohammad Ali (2019). Bioinformatics methodologies to identify interactions between Type 2 diabetes and neurological comorbidities. IEEE Access, 7 8933380, 183948-183970. doi: 10.1109/ACCESS.2019.2960037

Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality

Hossain, Md. Ali, Saiful Islam, Sheikh Muhammad, Quinn, Julian M.W., Huq, Fazlul and Moni, Mohammad Ali (2019). Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality. Journal of Biomedical Informatics, 100 103313, 103313. doi: 10.1016/j.jbi.2019.103313

Machine learning-based models for early stage detection of autism spectrum disorders

Akter, Tania, Shahriare Satu, Md., Khan, Md. Imran, Ali, Mohammad Hanif, Uddin, Shahadat, Lio, Pietro, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Machine learning-based models for early stage detection of autism spectrum disorders. IEEE Access, 7 8895818, 166509-166527. doi: 10.1109/ACCESS.2019.2952609

A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue

Moni, Mohammad Ali, Rana, Humayan Kabir, Islam, M. Babul, Ahmed, Mohammad Boshir, Xu, Haoming, Hasan, Md Al Mehedi, Lei, Yiming and Quinn, Julian M.W. (2019). A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue. Computers in Biology and Medicine, 113 103385. doi: 10.1016/j.compbiomed.2019.103385

Masturbation experience: a case study of undergraduate students in Bangladesh

Chowdhury, Md. Razwan Hasan Khan, Chowdhury, Mohammad Rocky Khan, Nipa, Nasrin Sultana, Kabir, Russell, Moni, Mohammad Ali and Kordowicz, Maria (2019). Masturbation experience: a case study of undergraduate students in Bangladesh. Journal of Population and Social Studies, 27 (4), 359-372. doi: 10.25133/JPSSv27n4.024

Activated carbon preparation from biomass feedstock: clean production and carbon dioxide adsorption

Ahmed, Mohammad Boshir, Hasan Johir, Md Abu, Zhou, John L., Ngo, Huu Hao, Nghiem, Long Duc, Richardson, Christopher, Moni, Mohammad Ali and Bryant, Macguire R. (2019). Activated carbon preparation from biomass feedstock: clean production and carbon dioxide adsorption. Journal of Cleaner Production, 225, 405-413. doi: 10.1016/j.jclepro.2019.03.342

The influence of depression on ovarian cancer: Discovering molecular pathways that identify novel biomarkers and therapeutic targets

Rahman, Md. Rezanur, Islam, Tania, Al-Mamun, Md. Abdullah, Zaman, Toyfiquz, Karim, Md. Rezaul and Moni, Mohammad Ali (2019). The influence of depression on ovarian cancer: Discovering molecular pathways that identify novel biomarkers and therapeutic targets. Informatics in Medicine Unlocked, 16 100207, 100207. doi: 10.1016/j.imu.2019.100207

Discovering biomarkers and pathways shared by alzheimer’s disease and ischemic stroke to identify novel therapeutic targets

Rahman, Md. Rezanur, Islam, Tania, Shahjaman, M. D., Zaman, Toyfiquz, Faruquee, Hossain Md., Mostofa Jamal, Mohammad Abu Hena, Huq, Fazlul, Quinn, Julian M. W. and Moni, Mohammad Ali (2019). Discovering biomarkers and pathways shared by alzheimer’s disease and ischemic stroke to identify novel therapeutic targets. Medicina, 55 (5) 191, 1-10. doi: 10.3390/medicina55050191

Genetic effects of welding fumes on the development of respiratory system diseases

Rana, Humayan Kabir, Akhtar, Mst. Rashida, Islam, M. Babul, Ahmed, Mohammad Boshir, Liò, Pietro, Quinn, Julian M.W., Huq, Fazlul and Moni, Mohammad Ali (2019). Genetic effects of welding fumes on the development of respiratory system diseases. Computers in Biology and Medicine, 108, 142-149. doi: 10.1016/j.compbiomed.2019.04.004

Genetic effects of welding fumes on the progression of neurodegenerative diseases

Rana, Humayan Kabir, Akhtar, Mst. Rashida, Ahmed, Mohammad Boshir, Liò, Pietro, Quinn, Julian M.W., Huq, Fazlul and Moni, Mohammad Ali (2019). Genetic effects of welding fumes on the progression of neurodegenerative diseases. NeuroToxicology, 71, 93-101. doi: 10.1016/j.neuro.2018.12.002

Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease

Rahman, Md. Rezanur, Islam, Tania, Turanli, Beste, Zaman, Toyfiquz, Faruquee, Hossain Md., Rahman, Md. Mafizur, Mollah, Md. Nurul Haque, Nanda, Ranjan Kumar, Arga, Kazim Yalcin, Gov, Esra and Moni, Mohammad Ali (2019). Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease. Computational Biology and Chemistry, 78, 431-439. doi: 10.1016/j.compbiolchem.2018.12.011

Identification of prognostic biomarker signatures and candidate drugs in colorectal cancer: Insights from systems biology analysis

Rahman, Md. Rezanur, Islam, Tania, Gov, Esra, Turanli, Beste, Gulfidan, Gizem, Shahjaman, Md., Banu, Nilufa Akhter, Mollah, Md. Nurul Haque, Arga, Kazim Yalcin and Moni, Mohammad Ali (2019). Identification of prognostic biomarker signatures and candidate drugs in colorectal cancer: Insights from systems biology analysis. Medicina, 55 (1) 20, 1-18. doi: 10.3390/medicina55010020

A bioinformatics approach to decode core genes and molecular pathways shared by breast cancer and endometrial cancer: Core genes and molecular pathways shared by breast cancer and endometrial cancer

Rahman, Md Foyzur, Rahman, Md Rezanur, Islam, Tania, Zaman, Toyfiquz, Shuvo, Md Abu Hena, Hossain, Md Tofazzal, Islam, Md Rafiqul, Karim, Md Rezaul and Moni, Mohammad Ali (2019). A bioinformatics approach to decode core genes and molecular pathways shared by breast cancer and endometrial cancer: Core genes and molecular pathways shared by breast cancer and endometrial cancer. Informatics in Medicine Unlocked, 17 100274, 1-6. doi: 10.1016/j.imu.2019.100274

A fast iris recognition system through optimum feature extraction

Rana, Humayan Kabir, Azam, Md. Shafiul, Akhtar, Mst. Rashida, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). A fast iris recognition system through optimum feature extraction. PeerJ Computer Science, 2019 (4) e184, 1-13. doi: 10.7717/peerj-cs.184

A novel blended state estimated adaptive controller for voltage and current control of microgrid against unknown noise

Munsi, Md. Shahin, Siddique, Abu Bakar, Das, Sajal K., Paul, Sanjoy Kumar, Islam, Md. Rabiul and Moni, Mohammad Ali (2019). A novel blended state estimated adaptive controller for voltage and current control of microgrid against unknown noise. IEEE Access, 7 8890801, 161975-161995. doi: 10.1109/ACCESS.2019.2951429

Detection of multiple sclerosis using blood and brain cells transcript profiles: Insights from comprehensive bioinformatics approach

Islam, Tania, Rahman, Md. Rezanur, Karim, Md. Rezaul, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Detection of multiple sclerosis using blood and brain cells transcript profiles: Insights from comprehensive bioinformatics approach. Informatics in Medicine Unlocked, 16 100201. doi: 10.1016/j.imu.2019.100201

Identification of molecular signatures and pathways common to blood cells and brain tissue of amyotrophic lateral sclerosis patients

Rahman, Md. Rezanur, Islam, Tania, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Identification of molecular signatures and pathways common to blood cells and brain tissue of amyotrophic lateral sclerosis patients. Informatics in Medicine Unlocked, 16 100193, 1-6. doi: 10.1016/j.imu.2019.100193

Network-based approach to identify key candidate genes and pathways shared by thyroid cancer and chronic kidney disease

Hossain, Md Ali, Asa, Tania Akter, Rahman, Md Rezanur and Moni, Mohammad Ali (2019). Network-based approach to identify key candidate genes and pathways shared by thyroid cancer and chronic kidney disease. Informatics in Medicine Unlocked, 16 100240. doi: 10.1016/j.imu.2019.100240

Sorptive removal of dissolved organic matter in biologically-treated effluent by functionalized biochar and carbon nanotubes: Importance of sorbent functionality

Ahmed, Mohammad Boshir, Johir, Md. Abu Hasan, Khourshed, Chinu, Zhou, John L., Ngo, Huu Hao, Nghiem, Duc Long, Moni, Mohammad and Sun, Lying (2018). Sorptive removal of dissolved organic matter in biologically-treated effluent by functionalized biochar and carbon nanotubes: Importance of sorbent functionality. Bioresource Technology, 269, 9-17. doi: 10.1016/j.biortech.2018.08.046

Genetic profiling and comorbidities of Zika infection

Moni, Mohammad Ali and Lio, Pietro (2017). Genetic profiling and comorbidities of Zika infection. Journal of Infectious Diseases, 216 (6), 703-712. doi: 10.1093/infdis/jix327

Quitting attempts in Bangladeshi male rural smokers and social correlates

Flora, M. S., Kabir, I. and Moni, M. A. (2016). Quitting attempts in Bangladeshi male rural smokers and social correlates. Bangladesh Medical Research Council Bulletin, 42 (2), 53-60. doi: 10.3329/bmrcb.v42i2.31998

Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer

Xu, Haoming, Moni, Mohammad Ali and Liò, Pietro (2015). Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer. Computational Biology and Chemistry, 59, 15-31. doi: 10.1016/j.compbiolchem.2015.08.010

How to build personalized multi-omics comorbidity profiles

Moni, Mohammad Ali and Liò, Pietro (2015). How to build personalized multi-omics comorbidity profiles. Frontiers in Cell and Developmental Biology, 3 (June) 28. doi: 10.3389/fcell.2015.00028

CytoCom: A Cytoscape app to visualize, query and analyse disease comorbidity networks

Moni, Mohammad Ali, Xu, Haoming and Liò, Pietro (2015). CytoCom: A Cytoscape app to visualize, query and analyse disease comorbidity networks. Bioinformatics, 31 (6), 969-971. doi: 10.1093/bioinformatics/btu731

Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies

Moni, Mohammad Ali and Liò, Pietro (2014). Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies. BMC Bioinformatics, 15 (1) 333. doi: 10.1186/1471-2105-15-333

comoR: A software for disease comorbidity risk assessment

Moni, Mohammad Ali and Liò, Pietro (2014). comoR: A software for disease comorbidity risk assessment. Journal of Clinical Bioinformatics, 4 (1) 8. doi: 10.1186/2043-9113-4-8

Modelling osteomyelitis

Liò, Pietro, Paoletti, Nicola, Moni, Mohammad A., Atwell, Kathryn, Merelli, Emanuela and Viceconti, Marco (2012). Modelling osteomyelitis. BMC Bioinformatics, 13 (s1) S12. doi: 10.1186/1471-2105-13-S14-S12

AI-Enhanced Biomedical Antennas for 2mm Brain Tumor Detection Using Scattering, Admittance and Impedance Parameters: A Comparative Analysis

Hasan, Nafiul, Rana, Md. Masud, Hasan, Md Mahmudul and Moni, Mohammad Ali (2023). AI-Enhanced Biomedical Antennas for 2mm Brain Tumor Detection Using Scattering, Admittance and Impedance Parameters: A Comparative Analysis. IEEE. doi: 10.1109/icict4sd59951.2023.10303373

Machine learning-based biomedical antenna for brain tumor detection

Hasan, Nafiul, Aktar, Mousumi, Rana, Md. Masud and Moni, Mohammad Ali (2023). Machine learning-based biomedical antenna for brain tumor detection. International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 16-17 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/ncim59001.2023.10212805

Deep CNN-GRU Based Human Activity Recognition with Automatic Feature Extraction Using Smartphone and Wearable Sensors

Khatun, Mst. Alema, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2023). Deep CNN-GRU Based Human Activity Recognition with Automatic Feature Extraction Using Smartphone and Wearable Sensors. IEEE. doi: 10.1109/ecce57851.2023.10101550

Convolutional neural network model to detect COVID-19 patients utilizing chest x-ray images

Satu, Md. Shahriare, Ahammed, Khair, Abedin, Mohammad Zoynul, Rahman, Md. Auhidur, Islam, Sheikh Mohammed Shariful, Azad, A. K. M., Alyami, Salem A. and Moni, Mohammad Ali (2023). Convolutional neural network model to detect COVID-19 patients utilizing chest x-ray images. First International Conference, MIET 2022, Noakhali, Bangladesh, 23-25 September 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-34619-4_13

Predictive risk modelling in mental health issues using machine learning on graphs

Lu, Haohui, Uddin, Shahadat, Hajati, Farshid, Khushi, Matloob and Moni, Mohammad Ali (2022). Predictive risk modelling in mental health issues using machine learning on graphs. ACSW 2022: Australasian Computer Science Week 2022, Online, 14 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3511616.3513112

A machine learning model to recognise human emotions using electroencephalogram

Roy, Nipa, Aktar, Sakifa, Ahamad, Md. Martuza and Moni, Mohammad Ali (2022). A machine learning model to recognise human emotions using electroencephalogram. 2021 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 17-19 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EICT54103.2021.9733675

Early stage autism spectrum disorder detection of adults and toddlers using machine learning models

Hasan, Minhazul, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2022). Early stage autism spectrum disorder detection of adults and toddlers using machine learning models. 2021 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 17-19 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EICT54103.2021.9733664

Early stage detection of heart failure using machine learning techniques

Alom, Zulfikar, Azim, Mohammad Abdul, Aung, Zeyar, Khushi, Matloob, Car, Josip and Moni, Mohammad Ali (2022). Early stage detection of heart failure using machine learning techniques. International Conference on Big Data, IoT, and Machine Learning, Cox’s Bazar, Bangladesh, 23-25 September 2021. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-16-6636-0_7

Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease

Mahbub, Nosin Ibna, Hasan, Md. Imran, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2022). Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease. International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, 26-27 February 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICISET54810.2022.9775827

SATLabel: a framework for sentiment and aspect terms based automatic topic labelling

Shahriar, Khandaker Tayef, Moni, Mohammad Ali, Hoque, Mohammed Moshiul, Islam, Muhammad Nazrul and Sarker, Iqbal H. (2022). SATLabel: a framework for sentiment and aspect terms based automatic topic labelling. Machine Intelligence and Data Science Applications, Cumilla, Bangladesh, 26-27 December 2021. Gateway East, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-19-2347-0_6

Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder

Mahmud, Mufti, Kaiser, M. Shamim, Rahman, Muhammad Arifur, Wadhera, Tanu, Brown, David J., Shopland, Nicholas, Burton, Andrew, Hughes-Roberts, Thomas, Mamun, Shamim Al, Ieracitano, Cosimo, Tania, Marzia Hoque, Moni, Mohammad Ali, Islam, Mohammed Shariful, Ray, Kanad and Hossain, M. Shahadat (2022). Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder. 16th International Conference, UAHCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual, 26 June - 1 July 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-05039-8_26

Improved transfer learning architecture to classify Covid-19 affected chest X-rays using noisy student pre-training

Fahim, Md Asif Iqbal, Naznin, Feroza, Moni, Mohammad Ali and Islam, Md Zahidul (2021). Improved transfer learning architecture to classify Covid-19 affected chest X-rays using noisy student pre-training. 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Kitakyushu, Japan, 16-20 August 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICIEVICIVPR52578.2021.9564125

Lung cancer prediction using curriculum learning based deep neural networks

Zhou, Jackson, Khushi, Matloob, Moni, Mohammad Ali, Uddin, Shahadat and Poon, Simon K. (2021). Lung cancer prediction using curriculum learning based deep neural networks. 2021 IEEE International Conference on Digital Health (ICDH), Chicago, IL USA, 5-10 September 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDH52753.2021.00013

Movie genre classification with deep neural network using poster images

Hossain, Nayeem, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2021). Movie genre classification with deep neural network using poster images. 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 27-28 February 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICICT4SD50815.2021.9396778

The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate

Uddin, Shahadat, Imam, Tasadduq and Ali Moni, Mohammad (2021). The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate. 2021 Australasian Computer Science Week Multiconference, Dunedin, New Zealand, 1-5 February 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3437378.3437384

COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children

Satu, Md. Shahriare, Mizan, K. Shayekh Ebne, Jerin, Syeda Anika, Whaiduzzaman, Md, Barros, Alistair, Ahmed, Kawsar and Moni, Mohammad Ali (2021). COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children. First International Conference on Applied Intelligence and Informatics, AII 2021, Online, 30-31 July 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-82269-9_25

Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortality

Choudhury, Zakia Zinat, Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortality. International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME253898.2021.9768525

Survival prediction for prostate cancer using machine learning and bioinformatics models

Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul and Moni, Mohammad Ali (2021). Survival prediction for prostate cancer using machine learning and bioinformatics models. 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IC4ME253898.2021.9768443

Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics study

Taz, Tasnimul Alam, Kawsar, Md, Siddique, Sinthia, Ahmed, Kawsar, Moni, Mohammad Ali and Paul, Bikash Kumar (2020). Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics study. IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Bhubaneswar, India, 26-27 December 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WIECON-ECE52138.2020.9397979

Comorbidity effects of mitochondrial dysfunction to the progression of neurological disorders: Insights from a systems biomedicine perspective

Satu, Md. Shahriare, Chandra Howlader, Koushik, Niamat Ullah Akhund, Tajim Md., Quinn, Julian M.W., Lio, Pietro and Moni, Mohammad Ali (2019). Comorbidity effects of mitochondrial dysfunction to the progression of neurological disorders: Insights from a systems biomedicine perspective. 2019 22nd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 18-20 December 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCIT48885.2019.9038388

A Bayesian optimization framework for the prediction of diabetes mellitus

Rahman, Md. Abdur, Shoaib, S. M., Amin, Md. Al, Toma, Rafia Nishat, Moni, Mohammad Ali and Awal, Md. Abdul (2019). A Bayesian optimization framework for the prediction of diabetes mellitus. 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 26-28 September 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICAEE48663.2019.8975480

Identification of genetic association of thyroid cancer with Parkinsons disease, osteoporosis, chronic heart failure, chronic kidney disease, type 1 diabetes and type 2 diabetes

Hossain, Md. Ali, Asa, Tania Akter, Saiful Islam, Sheikh Muhammad, Hussain, Muhammad Sajjad and Moni, Mohammad Ali (2019). Identification of genetic association of thyroid cancer with Parkinsons disease, osteoporosis, chronic heart failure, chronic kidney disease, type 1 diabetes and type 2 diabetes. 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 26 - 28 September 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICAEE48663.2019.8975560

A Systems Biology Approach to Identifying Genetic Markers that Link Progression of Parkinson's Disease to Risk Factors related to Ageing, Lifestyle and Type 2 Diabetes

Sakib, Najmus, Chowdhury, Utpala Nanda, Islam, M. Babul, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). A Systems Biology Approach to Identifying Genetic Markers that Link Progression of Parkinson's Disease to Risk Factors related to Ageing, Lifestyle and Type 2 Diabetes. 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 11-12 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME247184.2019.9036535

Delineating Common Cell Pathways that Influence Type 2 Diabetes and Neurodegenerative Diseases using a Network-based Approach

Chowdhury, Utpala Nanda, Hasan, Md. Al Mehedi, Ahmad, Shamim, Islam, M. Babul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Delineating Common Cell Pathways that Influence Type 2 Diabetes and Neurodegenerative Diseases using a Network-based Approach. 5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019, Rajshahi, Bangladesh, 11-12 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME247184.2019.9036525

Network-based quantitative frameworks to identify pleotropic factors that influence for cardiomyopathy progression

Haidar, Md. Nasim, Islam, M. Babul, Chowdhury, Utpala Nanda, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Network-based quantitative frameworks to identify pleotropic factors that influence for cardiomyopathy progression. 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 11-12 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME247184.2019.9036486

SVM model for feature selection to increase accuracy and reduce false positive rate in falls detection

Rashed-Al-Mahfuz, Md, Hoque, Md. Robiul, Pramanik, Bimal Kumar, Hamid, Md. Ekramul and Moni, Mohammad Ali (2019). SVM model for feature selection to increase accuracy and reduce false positive rate in falls detection. 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 11 - 12 July 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME247184.2019.9036529

Early detection of autism by extracting features: a case study in Bangladesh

Satu, Md. Shahriare, Farida Sathi, Farha, Arifen, Md. Sadrul, Hanif Ali, Md. and Moni, Mohammad Ali (2019). Early detection of autism by extracting features: a case study in Bangladesh. 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST), Dhaka, Bangladesh, 10 - 12 January 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST.2019.8644357

Detecting depression using K-nearest neighbors (KNN) classification technique

Islam, Md Rafiqul, Kamal, Abu Raihan M., Sultana, Naznin, Islam, Robiul, Moni, Mohammad Ali and Ulhaq, Anwaar (2018). Detecting depression using K-nearest neighbors (KNN) classification technique. 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 8 - 9 February 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME2.2018.8465641

Comparing viral (HIV) and bacterial (staphylococcus aureus) infection of the bone tissue

Moni, Mohammad Ali, Liò, Pietro and Milanesi, Luciano (2013). Comparing viral (HIV) and bacterial (staphylococcus aureus) infection of the bone tissue. BIOINFORMATICS 2013 - International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11-14 February 2013. Setúbal, Portugal: SciTePress.