Zhinuo Jenny Wang

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 develops sex-specific human electromechanical models to simulate and evaluate sex differences in drug responses and ECG biomarkers, revealing ionic and anatomical mechanisms underlying these differences.

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.

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

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.