Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer.
Timothy B FisherGeetanjali SainiT S RekhaJayashree KrishnamurthyShristi BhattaraiGrace CallagyMark WebberEmiel A M JanssenJun KongRitu AnejaPublished in: Breast cancer research : BCR (2024)
Our machine learning pipeline can robustly identify clinically relevant histological classes that predict NAC response in TNBC patients and may help guide patient selection for NAC treatment.