Charles J. Zhang

This paper uses patient-derived liver organoids and machine learning to identify hepatotoxic compounds by analyzing morphological changes, achieving high accuracy in distinguishing toxicants from non-toxicants.

LUMIC generates high-quality cell images using diffusion models and self-supervised learning, outperforming existing methods across cell lines and treatments.

This paper introduces a high-throughput microfluidic liver chip system using human liver organoids to model drug-induced liver injury with improved sensitivity and prolonged drug exposure capabilities.

This study identifies opposing roles for TGFbeta and BMP signaling in generating AT2-like cells from lung progenitors in vitro.