AI Tool Predicts the Optimal Presurgical Treatments for Breast Cancer
A new AI tool developed at Cedars-Sinai could change how doctors pick the most suitable presurgical therapy for breast cancer patients. The tool, called BRIDGE, was detailed in Annals of Oncology alongside early validation data. It reads genetic signals inside a tumor to identify which subtypes are present, rather than forcing the whole mass into one category. Treatment decisions for patients with breast cancer depend on how each tumor is classified and labeled. Doctors sort masses into groups like triple-negative or HER2-positive, then select from chemotherapy, targeted therapy, or immunotherapy given before the operation. When that approach works, a patient…

