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- Conference Paper
- C1
- open access
Designing a pharmacokinetic machine learning model for optimizing beta-lactam antimicrobial dosing in critically ill patients
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Antimicrobial stewardship in the intensive care unit : evolving challenges and data science opportunities
(2024) -
Characteristics of co-infection and secondary infection amongst critically ill COVID-19 patients in the first two waves of the pandemic
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- Conference Paper
- C3
- open access
Expectations and readiness of ICU physicians to use AI in clinical practice : a multicentre survey study
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Towards artificial intelligence as a decision support tool to combat AMR in the ICU
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- Journal Article
- A1
- open access
Early mobilisation in critically ill COVID-19 patients : a subanalysis of the ESICM-initiated UNITE-COVID observational study
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- Journal Article
- A1
- open access
Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients
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- Journal Article
- A1
- open access
Pathogen-based target attainment of optimized continuous infusion dosing regimens of piperacillin-tazobactam and meropenem in surgical ICU patients : a prospective single center observational study
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- Journal Article
- A1
- open access
Co-infection and ICU-acquired infection in COIVD-19 ICU patients : a secondary analysis of the UNITE-COVID data set
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- Miscellaneous
- open access
Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave : the global UNITE-COVID study (vol 48, pg 690, 2022)