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
Dr. Norman Juchler, ZHAW Life Sciences und Facility Management
Matteo Delucchi, UZH Institut für Mathematik
Dr. Jan Bartussek, Universitätsspital Zürich
Practice partner:
HUG (Geneva University Hospitals)
Running time: 2023-2025