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NIH scientists develop AI tool to predict how cancer patients will respond to immunotherapy

In a proof-of-concept study, CCR researchers developed an artificial intelligence (AI) tool that uses routine clinical data to predict whether someone’s cancer will respond to immune checkpoint inhibitors. The machine-learning model may help doctors determine if these immunotherapy drugs are effective for treating a patient’s cancer. The study, published June 3, 2024, in Nature Cancer, was led by Eytan Ruppin, M.D., Ph.D., Chief of the Cancer Data Science Laboratory, and collaborators at Memorial Sloan Kettering Cancer Center in New York. 

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Benign nail condition linked to rare syndrome that greatly increases cancer risk

Researchers from CCR and the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) discovered the presence of a benign nail abnormality may lead to the diagnosis of a rare inherited disorder that increases the risk of developing cancerous tumors. The study suggests conducting nail evaluation of affected patients and at-risk family members. 

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