EKFS funding for Marie Schafstedde!

Precision medicine in cardiology: model-based therapy planning for patients with complex heart valve diseases. The initial application to the Else-Kröner-Fresenius Foundation has been approved for funding!

In cardiac medicine, treatment planning is often focussed on 'average patients' and only insufficiently on the requirements of complex or rare forms of disease.

There are currently no methods that can be used to quantitatively compare and predict the success of different treatment options. So-called in silico methods could open up completely new avenues here. They are based on computer-aided models that make it possible to simulate surgical or interventional procedures on the heart and predict their haemodynamic outcome.

The aim of the research project is to develop and validate a model-based solution that makes it possible to predict the haemodynamic outcome of a surgical or interventional procedure in combined valvular disease in silico and thus significantly support therapy planning. By combining physical and data-driven models to create so-called hybrid modelling methods, the aim is to develop a user-friendly solution that can be used quickly, easily and interactively.

Diagramm zur klinischen Beurteilung von Herzpatienten. Enthält patientenbezogene Daten, TEER-Geräteplatzierung und hämodynamische Parameter wie Schlagvolumen, Ejektionsfraktion und Druckverläufe. Verbindet verschiedene diagnostische Verfahren wie Echo und MRT, um Behandlungsoptionen zu evaluieren.

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