Abstract

Co-authors: Claudia Nagel (KIT), Luca Azzolin (KIT), Giorgio Luongo (KIT), Patricia Martínez Díaz (KIT) Computer modeling and simulation of cardiac function can be used in multiple ways to contribute to overcoming clinical challenges: i) as a basic research tool to understand fundamental disease mechanisms, ii) by identifying the optimal therapy for an individual patient using a digital twin, iii) by generating large virtual cohorts of virtual chimeras for in silico trials identifying the optimal therapy for specific patient subgroups or to enable machine learning on these scalable datasets. This talk focuses on the third approach. After introducing the basic methodology for introducing relevant variations of both anatomy and function, we will give examples of how these methods have been used to contribute to risk stratification and decision support in the field of atrial arrhythmias.