— Project overview —

MARCIUS rationale is to develop a comprehensive in silico simulation platform comprising both the generation of virtual patients (ESR1) and their associated realistic image data (ESR2). This will make it possible to LEARN the most relevant patterns within a wide representative set of patients to lead the training of ML-based image processing algorithms in order to ANALYZE real-world clinical data by: 1) characterizing tissue properties (ESR3), 2) evaluate anatomy and function (ESR4) and 3) ultimately automate the interpretation of the resulting information into clinical decisions (ESR5). Before sizeable in-silico evidence is in place, the consortium will leverage from existing clinical & simulated data, which will fast-track the development of the core methodologies and reduce the critical inter-dependency between projects. Lastly, a clinical-oriented ESR (ESR6) will not only curate the available data and ensure tight connection to clinical key opinion leaders, but will also ultimately APPLY the developed tools in in order to validate them and to study the pathophysiology of failing hearts