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. By analyzing tissue images, the model could accurately recognize tumors that contained broken DNA repair mechanisms. This could enable clinicians to choose treatments that exploit this flaw. The findings are published in Nature Communications.