Dilated Cardiomyopathy (DCM) is a heart muscle disorder characterized by the thinning and stretching of the heart muscle in the left ventricle. This makes it more difficult for the left ventricle to supply the body with the necessary blood. The disease is associated with significant morbidity and mortality, including heart failure and sudden cardiac death. Intervention in the case of DCM is complicated, primarily due to the limited understanding of the etiology and genetic architecture of DCM, as well as limited therapeutic options.

In this project, we aim to develop AI-based methods to extract relevant information from high-dimensional and multimodal datasets (e.g. MRI, genetics, ECG) to better predict the severity and prognosis of DCM.

This project is part of the Horizon Europe-funded DCM-NEXT consortium.