Researchers at Indiana University School of Medicine, Mayo Clinic, Washington University in St. Louis, the University of Pennsylvania, Columbia University, and Intel received a five-year, $3.7 million NCI grant for a multi-site study developing a privacy-preserving artificial intelligence approach—called federated learning—which aims to improve breast cancer risk prediction and reduce health inequities in cancer prevention care.
For localized prostate cancer, multimodal artificial intelligence models have revealed a more accurate way to assess prostate cancer risk. By combining advanced artificial intelligence with digital pathology images and clinical data, researchers developed a way to approach risk classification that outperforms traditional methods. These findings were published in JCO Precision Oncology. The research found that...
