Wei‐Yu Lu

This paper introduces DUCK-Net, a deep learning model for automated segmentation of Ductular Reactions in murine liver injury, showing high accuracy and correlation with spatial transcriptomic data.

This study shows that regulatory T cells (Tregs) influence bile duct regeneration during cholangitis, and their stability is critical for reducing fibrosis and inflammation.

The paper develops an in silico model to predict host responses to varying degrees of liver injury and validates it against experimental data in mice.