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


College of Sciences, School of Biological Sciences

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