Palak Mayur Shah

This paper integrates clinical and transcriptomic data to identify LRRN4CL as a predictor of myocardial recovery in heart failure patients undergoing LVAD therapy, showing its association with cardiomyocyte dysfunction.

ESPWA is a deep learning tool developed to improve endocrine therapy precision in low-resource settings by accurately predicting ER status from H&E slides in Haitian patients.

This study shows that increasing SORLA levels in aged tauopathy mice reduces multiple pathological effects, including tau phosphorylation, inflammation, and synaptic dysfunction.

This study identifies barriers and needs for genetic evaluation in dilated cardiomyopathy through a survey and discussion with cardiologists, highlighting the need for improved reimbursement, education, and infrastructure.

This study integrates clinical and transcriptomic data to predict myocardial recovery in heart failure patients after LVAD implantation, identifying 80 features with an AUC of 0.731.

The paper curates and classifies genetic evidence for dilated cardiomyopathy (DCM), identifying 19 genes with strong or moderate evidence and highlighting gaps in understanding.