Zhicheng Ma

The paper creates a spatial atlas of early-stage colorectal cancer tumors to identify bacterial niches and their impact on tumor transcriptomes, highlighting C. difficile's significant influence despite low abundance.

PATH-IC uses generative AI to predict breast cancer genomic subtypes from histology images, achieving high accuracy and correlating with clinical outcomes.

ecDNAInspector identifies high-confidence ecDNA structures from WGS data, linking them to clinical and molecular features in breast cancer.

This study shows that many premalignant colorectal polyps contain multiple genetic lineages, indicating polyclonal origins rather than single-cell expansion.

This study identifies type I interferon signaling as a tumor-intrinsic suppressor of proliferation in 3D breast cancer spheroids through RIG-I-mediated sensing of cytosolic RNA.

The paper uses spatial imaging and computational analysis to identify features in metastatic tumors that predict response to immune checkpoint inhibition in TNBC patients.