Health
Machine Learning Approach Identifies Potential Drug Candidates To Treat COVID-19 – Technology Networks
Scientists have used machine learning to identify hundreds of new potential drugs that could help treat COVID-19, the disease caused by SARS-CoV-2.
Scientists at the University of California, Riverside, have used machine learning to identify hundreds of new potential drugs that could help treat COVID-19, the disease caused by the novel coronavirus, or SARS-CoV-2.
“There is an urgent need to identify effective drugs that treat or prevent COVID-19,” said Anandasankar Ray, a professor of molecular, cell, and systems biology who led the research. “We have developed a drug discovery pipeline that identified several candidates.”
The drug discov…
-
Noosa News17 hours agoCommissioner thanks police officer who threw a speed radar at a car
-
Noosa News16 hours agoNo matter what happens in his Origin debut, history beckons for rookie maroon Robert Toia
-
Noosa News23 hours agoBrisbane news live: Federal fund for council’s cyclone clean-up dries up
-
Noosa News17 hours agoGood character references restricted in rape cases in Queensland