Lucas Arantes Berg

This study uses multiscale modeling to identify anti-arrhythmic strategies for cell therapy in infarcted human ventricles, showing that blocking specific currents and upregulating others reduces arrhythmias while maintaining calcium function.

This paper introduces a GPU-based cardiac electrophysiology solver that enables fast and scalable simulations, demonstrating significant speedup and integration into a digital twin pipeline.

T-World is a computational model of human ventricular myocytes that accurately replicates physiological processes and identifies arrhythmia risks, with applications in drug response prediction.

The paper uses in-silico trials to evaluate the efficacy of SK and K2P channel block in atrial fibrillation, finding that combined block significantly improves cardioversion success.

The paper uses human-based modeling to evaluate cell therapy in acute and chronic myocardial infarction, finding that cell heterogeneity and Purkinje system function influence arrhythmia risk.