UBC researchers use AI to improve endometrial cancer diagnosis and treatment

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Cancer News

Endometrial Cancer,Artificial Intelligence,Cell

A discovery by researchers at the University of British Columbia promises to improve care for patients with endometrial cancer, the most common gynecologic malignancy.

University of British ColumbiaJun 27 2024

"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.

Yet, challenges remain. The most prevalent molecular subtype, encompassing approximately 50 per cent of all cases, is largely a catch-all category for endometrial cancers lacking discernable molecular features. Related Stories"The power of AI is that it can objectively look at large sets of images and identify patterns that elude human pathologists," said Dr. Bashashati. "It's finding the needle in the haystack. It tells us this group of cancers with these characteristics are the worst offenders and represent a higher risk for patients."

 

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