Matthew Neil Bainbridge

This study identifies molecular differences in HR+ breast cancer between Black and White women, linking structural factors like poverty to tumor biology and immune signatures.

This study identifies aberrant cytoplasmic MLH1 localization in sub-clonal breast cancer cells as a driver of endocrine resistance, showing it predicts response to CDK4/6 inhibitors.

The paper evaluates MPSE's performance in prioritizing NICU newborns for WGS within 48 hours using various ML classifiers, CNLP tools, and data types, finding high accuracy and flexibility.

This study identifies how specific cell cycle checkpoint kinase dysregulations influence cancer subtype, metastasis, and treatment response in breast cancer.

The paper uses C. elegans to functionally test STXBP1 variants, classifying them as benign, pathogenic, or VUS with machine learning models.

The paper investigates congenital kidney and urinary tract anomalies and genital defects in DYRK1A mutation carriers, showing DYRK1A's role in genitourinary development through Xenopus studies.