AI could help pathologists match cancer patients to the right treatments faster and more efficiently, study shows

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Artificial intelligence could enhance how tumor samples are analyzed in the lab—significantly improving how doctors determine the best treatment for cancer patients, a study by researchers at the Icahn School of Medicine at Mount Sinai Memorial Sloan Kettering Cancer Center, and other collaborators suggests. 

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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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