Study shows new machine learning method may lead to optimal cancer treatment decisions
December 4, 2020 Researchers at the University of North Carolina at Chapel Hill and North Carolina State University have developed a computational framework to generate evidence-based optimal cancer treatment decisions informed by a patient’s genomic biomarkers. The findings, which may aid in the development of precision cancer treatments, are published in the Journal of the American Statistical Association.