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Using machine learning to identify patients with cancer that would benefit from immunotherapy - EurekAlert
A new study examines the development of two machine learning models to classify the immunophenotype of a cancer specimen. The digital pathology approach presented can characterize and classify cancer immunophenotypes in a reproducible and scalable fashion, holding promise for the application of such a. method to identify patients that may benefit from immunotherapy in non-small cell lung cancer (NSCLC), according to the study published in the peer-reviewed journal <strong><em>AI in Precision Oncology. </em></strong>
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