Projects 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 Finished Fighting 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