Israeli-led team wins grant to develop AI MRI for early ovarian cancer detection
A research team led by the Technion has received a $35 million grant to develop an AI-powered MRI method for early ovarian cancer detection. The project focuses on identifying biological markers in women with BRCA gene mutations to improve screening and potentially avoid unnecessary preventive surgeries.
Why it matters
This technology could significantly improve survival rates for high-risk patients by enabling earlier, non-invasive diagnosis of aggressive gynecologic cancers.
A Technion-led research team has received a Gray Foundation Team Science grant to develop an artificial intelligence-powered MRI method aimed at improving early detection of ovarian cancer, particularly among women with inherited BRCA gene mutations. The project, led by Prof. Moti Freiman of the Technion Faculty of Biomedical Engineering and the May-Blum-Dahl Technion Human MRI Research Center, was selected as part of the Gray Foundation’s latest $35 million funding round for research focused on preventing, intercepting and detecting BRCA-related cancers at earlier stages. The research brings together teams from the Technion, the University of Pennsylvania and the University of Chicago. The Technion–University of Pennsylvania team is led by Freiman, Dr. Karthik Sundaram and Prof. Dylan Tisdall, while the University of Chicago team is led by Dr. Milica Medved and Dr. Kathryn Mills.
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