Proyectos NON-INVASIVE RISK ASSESSMENT IN ATRIAL FIBRILLATION Clinically-guided data processing methods and in silico models to improve patient stratification and therapy response in cardiac and neurological disorders: PID2022-140556OB-I00Multi-disciplinary, multi-sectoral and multi-national training network on digital biomarkers for supraventricular arrhythmia characterization and risk assessment. 101119941 (Call HORIZON-MSCA-2022-DN-01)Digital transformation of clinical practice by using patient-specific cardiac digital twins for risk prediction and therapy optimization (DIGICARDIO) – TED2021-130459B-I00Consulting services for basic physiologic features Post List #1Fighting atrial fibrillation by acting on the signals that reach the heart from the nervous systemBiomarkers for Early Detection of Atrial Fibrillation Phase in Strenuous Exercise-Induced Atrial Cardiomyopathy: Prevention of Pafiyama SyndromeMY-ATRIA: MultidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progressionTowards improved management of cardiovascular diseases by integrative in silico-in vitro-in vivo research into hearts structure, function and autonomic regulation – PID2019-105674RB-I00Physiology-driven signal analysis for guiding cardiac arrhythmia management and therapy – PID2019-104881RB-I00