Harnessing digital twins for healthcare - Cerebrovascular Autoregulation in Critical Care (NeuroVascTwin)
We will explore the concept of Digital Twin in Healthcare to virtually reproduce patient-specific pathophysiological systems.
Beschreibung
We explore the concept of Digital Twin in Healthcare to virtually reproduce patient-specific pathophysiological systems.
We will combine data-driven and model-driven approaches using data assimilation techniques and physics-informed machine learning, and exemplify them with clinical cases.
Specifically, we implement a digital twin in a neurocritical care setting to infer the functional state of cerebrovascular autoregulation.
Eckdaten
Projektleitung
Projektteam
Ayla Durrer, Dr. Radoslava Svihrová, Prof. Dr. Emanuela Keller (Universitätsspital Zürich)
Projektpartner
Universitätsspital Zürich / Neurocritical Care Unit
Projektstatus
laufend, gestartet 02/2026
Institut/Zentrum
Institut für Computational Life Sciences (ICLS)
Drittmittelgeber
Digitalisierungsinitiative der Zürcher Hochschulen DIZH / DIZH Fellowship 2024
Projektvolumen
200'000 CHF
Weiterführende Dokumente und Links
Life Sciences und Facility Management
Schloss
8820 Wädenswil