Brett Johnson

This study creates a multimodal tumor atlas to analyze how metastatic HR+ breast cancers adapt to CDK4/6 inhibitors, revealing mechanisms like mTORC1 activation and immune microenvironment changes.

This study develops MOMA, a multiomic and multiscale analysis method to deconstruct intratumoral heterogeneity in IDH-mutant astrocytomas, revealing molecular features and spatial distributions of malignant clones.

This paper introduces a deep learning method called SHIFT that translates histological images into virtual immunofluorescence images, improving efficiency and reducing costs in cancer diagnostics.