Thomas P. Burghardt

The paper develops a neural-symbolic hybrid model to decode genetic bases of inheritable heart disease by analyzing SNVs in myosin and MYBPC3 proteins.

The paper identifies co-domains in sarcomere proteins that distinguish cardiac diseases by analyzing SNVs and their impact on inter-protein contacts using a neural/Bayes network model.

The paper shows that low-frequency electrical stimulation increases intracellular vesicle mobility in astrocytes, suggesting a mechanism by which slow-wave sleep enhances astrocytic function.

The paper develops neural and Bayesian models to predict SNP pathogenicity and disease risk in cardiac proteins by analyzing demographic and sequence characteristics of SNPs.

The paper examines how single cardiac ventricular myosins adjust their step-size under different loading conditions in transgenic mouse models with specific ELC mutations.