In the context of ANR’s PEPR en Santé Numérique, Chronicardio is a multicenter project that brings together researchers from INRIA (Sophia Antipolis and Rennes), CNRS (Creatis, Lyon) as well as clinicians and radiologists from CHU Lyon and Marseille. The totality of the consortium comprises about thirty people, researchers, engineers, PhD students, post-doctoral researchers and clinicians among them.
We strive to develop advanced technological tools based on novel climatology-like predictive methods using machine learning and statistical approaches, along with multi-scale computational electrical and mechanical simulations (i.e. a hybrid digital twin), with a final goal to predict the long-term evolution of chronic non-ischemic dilated and hypertrophic cardiomyopathies (DCM/HCM).
Specifically, we will exploit multi-scale and multi-factorial data (e.g. genetic, biological, electrophysiological, magnetic resonance imaging data), which is collected from several already constituted cohorts of patients presenting with chronic non-ischemic DCM/HCM and continuously updated.
Our interdisciplinary framework will provide a unique partnership between well-established teams with complementary expertise in: machine learning, biophysical heart modelling; radiology; cardiology.