Zhen Ma

This paper introduces a generative AI framework that predicts cardiomyocyte contraction from static images, achieving high accuracy and revealing structure-function relationships.

This study shows that TH1834 inhibits TIP60, improving recovery in human iPSC-derived cardiomyocytes and cardioids after ischemia/reperfusion injury by enhancing metabolic flexibility and calcium homeostasis.

This study uses micropatterned cardioids to investigate mesoderm-endoderm interactions in heart development, finding that pattern size affects cavity formation and signaling.

This paper develops a deep learning framework to screen for cardiotoxicity using hiPSC-derived cardiomyocytes, identifying compounds with high toxicity scores and inter-donor variability.

This paper uses conditional GANs to colorize brightfield images of cardiac organoids, providing cell type-specific fluorescence information to enhance their characterization.