AI tool predicts responses to cancer therapy using information from each cell of the tumor
Sanford Burnham PrebysWith more than 200 types of cancer and every cancer individually unique, ongoing efforts to develop precision oncology treatments remain daunting. In a new study published in the journal Nature Cancer, first author Sanju Sinha, Ph.D., at Sanford Burnham Prebys, with senior authors Eytan Ruppin, M.D., Ph.D., and Alejandro Schaffer, Ph.D., at the National Cancer Institute—and colleagues—describe a first-of-its-kind computational pipeline to systematically predict patient response to cancer drugs at single-cell resolution.