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:
HUG (Geneva University Hospitals)
Running time: 2023-2025