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AI tool predicts responses to cancer therapy using information from each cell of the tumor - EurekAlert
Most cancer patients do not benefit from early targeted therapies. In a new study published on April 18, 2024, in the journal <em>Nature Cancer</em>, first author Sanju Sinha, Ph.D., assistant professor in the Cancer Molecular Therapeutics Program at Sanford Burnham Prebys, with senior authors Eytan Ruppin, M.D., Ph.D., and Alejandro Schaffer, Ph.D., at the National Cancer Institute, part of the National Institutes of Health (NIH)—and colleagues—describe a first-of-its-kind computational pipeline to systematically predict patient response to cancer drugs at single-cell resolution.
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