J. Parikh

Cardiac toxicity predictions: Safety pharmacologists correlate with the CiPA model

This study shows that safety pharmacologists can predict cardiac toxicity risks using a linear model, achieving strong correlation with a complex biophysical model.

Neuronal Population Models Reveal Specific Linear Conductance Controllers Sufficient to Rescue Preclinical Disease Phenotypes

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

Model order reduction for left ventricular mechanics via congruency training

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.

Intrinsic structure of model-derived metrics for in silico proarrhytmic risk assessment identified by global sensitivity analysis

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.