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1256-AI Prediction of Prostate Cancer Molecular Subtypes

Researchers have developed an advanced AI framework designed to identify prostate cancer molecular subtypes directly from standard, low-cost histology slides. By fine-tuning a pathology-based foundational model, this technology accurately predicts genetic classifications that typically require expensive and time-consuming transcriptomic testing. The study demonstrates that these AI-derived scores correlate with how well a patient might respond to hormonal therapy and the likelihood of discovering aggressive disease during surgery. Specifically, tumors identified as luminal B or proliferating…

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