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Stroke DynamiX – Graphical and Causal Networks for Personalized Stroke Management

Description

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.

Key data

Projectlead

Deputy Projectlead

Co-Projectlead

Prof. Dr. Reinhard Furrer (Universität Zürich UZH), Dr. Zsolt Kulcsar (Universitätsspital Zürich USZ)

Project team

Dr. Norman Juchler, Matteo Delucchi, Dr. Jan Bartussek (Universitätsspital Zürich USZ)

Project partners

Universität Zürich UZH; Universitätsspital Zürich USZ; Hôpitaux universitaires de Genève

Project status

completed, 05/2023 - 04/2026

Institute/Centre

Institute of Computational Life Sciences (ICLS)

Funding partner

Digitalisierungsinitiative der Zürcher Hochschulen DIZH

Project budget

599'866 CHF