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Artificial intelligence may soon help doctors treat patients with ovarian cancer

UCLA Health Connect blog

Post Date:March 14, 2022 6:00 AM
"This data is meant to improve the lives of all women with ovarian cancer in the University of California system," says Dr. Joshua Cohen, principal investigator on a study using artificial intelligence to improve treatment. (Photo by Joshua Sudock/UCLA Health)

UCLA Health will soon launch a study using artificial intelligence to nimbly fine-tune treatment for patients with ovarian cancer, in order to minimize medication side effects and improve quality of life.

Participants will regularly answer questions on an interactive mobile platform about concerns such as pain, fatigue and nausea, as well as about general well-being. The software will then use artificial intelligence to make evidence-based treatment recommendations to their oncologists, said principal investigator Joshua G. Cohen, MD, a member of the UCLA Jonsson Comprehensive Cancer Center.

“That information goes in real time to their primary oncology doctor and the nursing team,” said Dr. Cohen, associate professor of gynecologic oncology at the David Geffen School of Medicine at UCLA. “It would allow us in a very efficient manner to make dose adjustments to the medication or potentially use a different medication.”

Click here to read the UCLA Health Connect blog.

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