Stefano Morotti

This study shows caveolae compartmentalize key proteins in SAN pacemaking, and their disruption leads to heart failure-related arrhythmias.

This paper develops a computational pipeline to predict sex-specific antiarrhythmic drug strategies for atrial fibrillation by integrating regression and mechanistic modeling of sex-specific cardiac electrophysiology.

This study uses high-throughput pericellular oxygen measurements and computational modeling to assess how adrenergic drugs affect human iPSC-derived cardiomyocytes.

This paper develops and validates sex-specific computational models of human atrial cardiomyocytes to investigate sex differences in atrial fibrillation mechanisms and therapeutic responses.

This study uses computational models to show female atrial cardiomyocytes in AF have higher Ca2+-driven arrhythmia risk than males, with specific interventions identified to address these differences.

This study identifies Dnajb6 as a gene causing sick sinus syndrome through a phenotype-based genetic screen in zebrafish.

The paper develops statistical translators to map cardiac myocyte electrophysiological responses across species, validated with experimental data and simulations.