Mariano Vázquez

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.

This study uses computational models to assess drug-induced cardiac risk in vulnerable populations, showing greater QT prolongation and arrhythmia risk in specific heart conditions and females.

This study calibrates and validates ventricular electromechanical models using ECG and pressure-volume biomarkers to assess their credibility for cardiac Digital Twin applications.

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.