Ensemble-based machine learning algorithms accurately predict the response of cancer drugs

External News Details

A team of Georgia Tech researchers led by John F. McDonald, professor in the School of Biological Sciences, and colleagues from the Ovarian Cancer Institute are using ensemble-based machine learning algorithms to predict with high accuracy how patients will respond to cancer-fighting drugs. The results of their recent research were published in the Journal of Oncology Research. The researchers found an overall predictive accuracy of 91%. (This research was also covered in News-Medical.net.)

Additional Information

Groups

College of Sciences, School of Biological Sciences

Categories
Cancer Research
Keywords
College of Sciences, School of Biological Sciences, John F. McDonald, machine learning, Cancer research, cancer drugs
Status
  • Created By: Renay San Miguel
  • Workflow Status: Published
  • Created On: Oct 29, 2021 - 3:35pm
  • Last Updated: Oct 29, 2021 - 3:35pm