AI model detects signs of faulty DNA repair in ovarian cancer using tissue images

An AI model created by researchers at King's can detect signs of faulty repair mechanisms in ovarian cancer cells, potentially leading to a low-cost, widely accessible diagnostic tool in the future.

“We are unlocking information hidden in microscopic images of cancer tissue that could transform how we match patients to treatments. By using AI to reveal defects in DNA repair, we could make precision cancer medicine faster, more affordable and accessible to more women with ovarian cancer, not just in the U.K. but around the world,” said Dr. Heba Sailem, reader in computational pathology at King’s College London.

DNA repair defects guide treatment choices

The study focused on high-grade serous tubo-ovarian carcinoma (HGSOC), an aggressive form of cancer that arises in the ovaries or fallopian tubes. One of the most important characteristics of this cancer is something called homologous recombination deficiency, or HRD.

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