Scientists discover high-risk form of endometrial cancer — and how to test for it — using AI

Dr. Ali Bashashati is one UBC researcher using deep learning AI tools to help diagnose and treat endometrial cancer
Dr. Ali Bashashati and his team are paving the way for better diagnostics and care for patients with endometrial cancer

UBC AI & Health Network member Dr. Ali Bashashati and his team have developed a method using AI to identify a high-risk form of endometrial cancer that puts patients at much greater risk of recurrence and death, a discovery that could transform how this disease is diagnosed and treated.

“Endometrial cancer is a diverse disease, with some patients much more likely to see their cancer return than others,” said Dr. Jessica McAlpine, professor and Dr. Chew Wei Chair in Gynaecologic Oncology at UBC, and surgeon-scientist at BC Cancer and Vancouver General Hospital. “It’s so important that patients with high-risk disease are identified so we can intervene and hopefully prevent recurrence. This AI-based approach will help ensure no patient misses an opportunity for potentially lifesaving interventions.”

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