Personalized Swiss Sepsis Study: Detection and modelling of sepsis using machine learning to analyse continuous ICU monitoring, laboratory, microbiology, and -omics data for personalized sepsis management (PSSS)

Within this collaborative network of all Swiss University Hospitals, Universities and ETH Zürich, we will generate a highly interoperable research network on novel digital and molecular –omics based biomarkers with the final goal to recognize a bacterial sepsis earlier and to predict its course more precisely than currently possible for an individual patient.

Partners: ETHZ, USB, USZ, UniBS, UZH



Adrian Egli (USB, UniBS)


Driver Project, jointly with SPHN

Health 2030 Institutions