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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).

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Short Summary


Sepsis is associated with high morbidity and mortality. Early diagnosis and treatment can significantly influence the heterogeneous outcome.

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.


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Bacterial infection progressing to sepsis is associated with high morbidity, mortality, reduction of quality of life in survivors and health care costs. The course and outcome of sepsis is highly heterogeneous and depends on the causative pathogen and varies from patient to patient. The individual outcome is significantly influenced by various complex host- and pathogen-related factors. Increasing rates of multi-drug resistant bacteria further complicate the diagnostic process and clinical management and may lead to treatment failure. Therefore, patients with sepsis would greatly benefit from personalized diagnostic assessment and treatment strategies evaluating and integrating the host and the pathogen.

New Publications



Here you see the countdown for our next publication:
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Adrian Egli

PD Dr. med. Dr. phil. Adrian Egli, University Hospital Basel (USB) and University of Basel.

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