Andrew D. McCulloch

The paper develops a surrogate model for ventricular wall mechanics using a statistical atlas and finite element simulations, achieving high accuracy in predicting displacements.

The paper develops a computational model to simulate how different exercise regimes affect mitochondrial fission and fusion dynamics in skeletal muscle.

This study uses patient-specific models to show that CRT improves myocardial work efficiency and reverse remodeling in DHF by reducing negative work in early-activated regions.

The paper develops a signaling network model to investigate genotype-to-phenotype mechanisms in familial cardiomyopathy, showing it can predict experimental outcomes and suggest therapeutic strategies.

The paper defines cardiac cell type-specific cis-regulatory elements and links disease risk variants to these elements in human hearts.