Researchers at the University of British Columbia have used artificial intelligence (AI) to identify a distinct subset of endometrial cancer that increases the risk of recurrence and death. This discovery, published in Nature Communications, will help doctors identify high-risk patients who may benefit from more comprehensive treatment. The AI tool developed by Dr. Ali Bashashati is cost-efficient and easy to deploy, making it accessible even in rural areas. This innovative approach combining AI with traditional molecular diagnostics could lead to more personalized and effective care for patients with endometrial cancer, ultimately improving outcomes and increasing access to treatment.
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Scientists discover high-risk form of endometrial cancer—and how to test for it—using AI
