Health
New machine learning algorithm ranks drugs based on efficacy in reducing cancer cell growth – News-Medical.Net
Researchers from the Queen Mary University of London have developed a machine learning algorithm that ranks drugs based on their efficacy in reducing cancer cell…
Researchers from the Queen Mary University of London have developed a machine learning algorithm that ranks drugs based on their efficacy in reducing cancer cell growth.
The approach may have the potential to advance personalised therapies in the future by allowing oncologists to select the best drugs to treat individual cancer patients.
The method, named Drug Ranking Using Machine Learning (DRUML), was published today in Nature Communications and is based on machine learning analysis of data derived…
-
Noosa News22 hours agoNew South Wales Blues left to pick up the pieces after fumbling a chance at State of Origin glory
-
Noosa News16 hours agoHelp to make recycling stick
-
Noosa News15 hours agoFormer Darling Downs Zoo employee sheds new light on horrific lion attack on teacher Joanne Cabban
-
Noosa News15 hours agoBrisbane house rents record first quarter without growth since 2022