Associate Professor Luregn Schlapbach

Honorary Associate Professor

Child Health Research Centre
Faculty of Medicine



  • Schlapbach, Luregn J, Hagmann, Cornelia and Giannoni, Eric (2022). Time to tackle early-onset sepsis in low-income and middle-income countries. The Lancet Global Health, 10 (5), e592-e593. doi: 10.1016/S2214-109X(22)00086-9

  • Fernández-Sarmiento, Jaime, Schlapbach, Luregn J., Acevedo, Lorena, Santana, Carolina Ramírez, Acosta, Yeny, Diana, Ampudia, Monsalve, M. and Carcillo, Joseph A. (2022). Endothelial damage in sepsis: the importance of systems biology. Frontiers in Pediatrics, 10 828968, 828968. doi: 10.3389/fped.2022.828968

  • Stocker, Martin, Daunhawer, Imant, Van Herk, Wendy, El Helou, Salhab, Dutta, Sourabh, Schuerman, Frank A. B. A., Van Den Tooren-De Groot, Rita K., Wieringa, Jantien W., Janota, Jan, Van Der Meer-Kappelle, Laura H., Moonen, Rob, Sie, Sintha D., De Vries, Esther, Donker, Albertine E., Zimmerman, Urs, Schlapbach, Luregn J., De Mol, Amerik C., Hoffmann-Haringsma, Angelique, Roy, Madan, Tomaske, Maren, Kornelisse, René F., Van Gijsel, Juliette, Plötz, Frans B., Wellmann, Sven, Achten, Niek B., Lehnick, Dirk, Van Rossum, Annemarie M. C. and Vogt, Julia E. (2022). Machine learning used to compare the diagnostic accuracy of risk factors, clinical signs and biomarkers and to develop a new prediction model for neonatal early-onset sepsis. Pediatric Infectious Disease Journal, 41 (3), 248-254. doi: 10.1097/INF.0000000000003344

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Journal Article

Conference Publication

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

Completed Supervision