Machine learning increases the accuracy of anti-cancer drug response predictions – News-Medical.net

Reviewed by Emily Henderson, B.Sc.Nov 2 2020
With the advent of pharmacogenomics, machine learning research is well underway to predict the patients’ drug response that varies by individual from the algorithms derived from previously collected data on drug responses. Entering high-quality learning data that can reflect a person’s drug response as much as possible is the starting point for improving the accuracy of the prediction. Previously, preclinical study of animal models were used which were…

Click here to view the original article.