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Abstract Germline BRCA1/2 alterations (gBRCAm) are actionable drivers of breast cancer management, yet testing strategies based on clinical and family-history criteria miss many carriers. We developed BRCAura, a deep learning model that predicts gBRCAm status directly from routine histology whole-slide images.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.