Heng Pan

This paper develops a human organoid model of early PDAC that identifies genetic and epigenetic barriers to lineage plasticity, showing CDKN2A loss is essential with KRAS/TP53 mutations and TET1 suppression links ERK signaling to transcription factor silencing.

BEACON predicts drug side effects and therapeutic outcomes by integrating biomedical knowledge graphs with contextual language models, achieving high accuracy in drug sensitivity and drug-drug interaction predictions.

DDI-GPT predicts drug-drug interactions using a large language model enhanced with knowledge graphs, achieving high accuracy and providing explainable insights into interaction mechanisms.

PAIRWISE predicts effective personalized drug combinations in cancer using deep learning and transcriptome data, achieving high AUROC scores in validation tests.

CellDiffusion improves scRNA-seq data integration by accurately inferring cell-cell associations and correcting batch effects across diverse datasets.

This study identifies molecular subgroups of BPH and suggests mTOR inhibitors as a potential therapy for specific subtypes.