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Self-taught AI tool helps to diagnose and predict severity of common lung cancer

A computer program based on data from nearly a half-million tissue images and powered by artificial intelligence can accurately diagnose cases of adenocarcinoma, the most common form of lung cancer, a new study shows.

Gene expression in nearby healthy tissue may be a better predictor of lung cancer recurrence

Genetic information collected from seemingly healthy tissue near lung tumors may be a better predictor of whether cancer will come back after treatment than analysis of the tumors themselves, according to new research led by NYU Langone Health and its Perlmutter Cancer Center.

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