Matthew J. Wolf

The paper develops a computational network model predicting DYRK1A inhibition promotes cardiomyocyte cycling after ischemic/reperfusion injury, validated through experiments in neonatal rat cardiomyocytes.

This study identifies mTOR as a therapeutic target for MYBPC3 mutation-induced hypertrophic cardiomyopathy using network modeling and experimental validation.

The paper uses a logic-based machine learning method to predict how escitalopram reduces cardiomyocyte hypertrophy, validated through experiments and patient data.

The paper develops a computational model of cardiac proliferation signaling that identifies key regulators and predicts Hippo to cMyc module crosstalk driving cardiomyocyte proliferation.

This study shows that PANX1 deficiency in cardiomyocytes reduces glycolytic metabolism and protects against cardiac hypertrophy in non-ischemic heart failure by decreasing neutrophil recruitment.

This study identifies conserved polyploidy asymmetry between cardiac chambers in Drosophila and humans, showing its role in maintaining heart function and its implications for heart failure.