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Stroke DynamiX

Stroke DynamiX explores data-driven stroke management using machine-learning techniques in a consortium of statistics researchers, translational enablers, and clinical partners. We implement statistical tools to dynamically model stroke epidemiologically and predict real-time sepsis onset in the clinic.

Core team: 

Dr. Georg Spinner, ZHAW Life Sciences und Facility Management

Prof. Dr. Reinhard Furrer, UZH Institut für Mathematik

Zsolt Kulcsar PD Dr. med., Universitätsspital Zürich 

Practice partner: 

Universitätsspital Zürich

HUG (Geneva University Hospitals)

Running time: 2023-2025