J. Kozloski

The paper develops virtual drugs using population-based modeling and evolutionary algorithms to recover healthy electrophysiological phenotypes in Huntington’s disease neurons.

This paper introduces a model order reduction strategy for 3-D finite element models of ventricular mechanics using congruency training and linear transformations to improve computational efficiency.

This paper uses global sensitivity analysis to evaluate model-derived metrics for predicting drug-induced TdP risk, finding that these metrics are not strongly correlated with EAD generation and can be explained by direct features.