Molecular Biomarkers for Sepsis
This multi-center observational case-control study in ICU patients aims to identify novel biomarkers for early recognition of severe community acquired pneumonia-associated sepsis and to predict sepsis-related mortality. Patients with sCAP will be profiled over time and compared with controls, using modern omics technologies to explore mechanisms and influencing factors. The resulting data will be analyzed with machine learning algorithms and multi-dimensional mathematical models.
This multi-center observational case-control study in ICU patients aims to identify novel biomarkers for early recognition of severe community acquired pneumonia-associated sepsis and to predict sepsis-related mortality. Patients with sCAP will be profiled over time and compared with controls, using modern omics technologies to explore mechanisms and influencing factors. The resulting data will be analyzed with machine learning algorithms and multi-dimensional mathematical models.
The study’s use of machine learning and advanced modeling offers a framework that Swiss AI researchers can adopt for similar clinical predictive analytics.
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