AI model predicts drug effectiveness for triple-negative breast cancer

Scientists published results in Nature of an AI model trained on millions of protein measurements that assesses the effectiveness of drugs for triple-negative breast cancer based on tissue samples from patients. The tool is intended to help guide targeted therapy for the most difficult-to-treat form of this cancer.