Alberto Zingaro

AI-enhanced cardiac digital twins extend drug proarrhythmic risk assessment through experimental data uncertainty propagation and overdose exploration: a loperamide case study

The paper uses AI-enhanced cardiac digital twins to assess drug proarrhythmic risk by propagating experimental uncertainty and simulating extreme exposures, finding sex-specific arrhythmogenic thresholds for loperamide.

A biatrial digital twin integrating electrophysiology, mechanics, and circulation: from physiology to atrial fibrillation

This paper presents a multiscale atrial digital twin framework that integrates electrophysiology, mechanics, and circulation to simulate normal and pathological atrial function, showing how electrical changes affect mechanical and hemodynamic outcomes.

Real-time prediction of drug-induced proarrhythmic risk with sex-specific cardiac emulators

This paper develops sex-specific cardiac emulators to predict drug-induced QT interval prolongation in real-time, achieving high accuracy and drastically reducing computational time for drug safety assessments.