William J. Richardson

The paper develops a computational model of collagen turnover to identify key proteases and inhibitors affecting ECM dynamics in post-infarct hearts.

This paper develops a 3D tissue culture platform to mimic post-MI myocardium mechanical heterogeneity and study scar formation in vitro.

The paper develops sex-specific computational models of cardiac fibroblast networks to identify drug targets for fibrosis, finding potential pathways and explaining sex differences in fibrosis development.

The paper uses network modeling to predict gene expression and drug responses in valve myofibroblasts exposed to patient sera, linking fibrosis-related signaling to AVS severity and identifying potential therapeutic targets.

The paper predicts mechano-adaptive therapies for myocardial infarction by modeling fibroblast mechanotransduction and identifying 13 drug targets that modulate matrix accumulation in specific regions.