AI predicts kidney cancer therapy response

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An artificial intelligence-based model developed by UT Southwestern Medical Center researchers can accurately predict which kidney cancer patients will benefit from anti-angiogenic therapy, a class of treatments that’s only effective in some patients. 

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Jason Chiang and Kyung Sung of the Department of Radiological Sciences at the David Geffen School of Medicine at UCLA and the UCLA Health Jonsson Comprehensive Cancer Center have received a $3.2 million, five-year grant from NCI to develop an artificial intelligence-enhanced imaging platform designed to improve yttrium-90 (Y90) radioembolization planning for patients with liver cancer.

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