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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At the 2026 Annual Meeting of the American Society of Clinical Oncology in Chicago, results from the phase III HARMONi-6 trial were presented at the plenary session and published simultaneously in The Lancet. The HARMONi-6 trial tested a novel bispecific antibody that engages PD-1 and VEGF (ivonescimab), given with platinum-doublet chemotherapy to patients with previously untreated advanced squamous non-small cell lung cancer. 
In 2026, more than 900 million people are estimated to be regularly using generative artificial intelligence—computer systems capable of creating human-like text, images, audio, video, and other original content. AI is becoming integrated into nearly every aspect of daily life. Health care is no exception. 

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