Predicting the onset of sepsis with machine learning

The early recognition of sepsis remains a key challenge in healthcare. Since 2018, Karsten Borgwardt from D-BSSE and Adrian Egli from the University Hospital Basel have coordinated the Personalized Swiss Sepsis Study, a multidisciplinary consortium that tries to predict the onset of sepsis through machine learning on the vast volume of data from intensive care units and clinical laboratories. The consortium’s research and infrastructure is now described on a one-stop platform.