Summary:
- This article reports on a study that used machine learning to analyze data from over 2,000 scientific papers and identify potential new treatments for COVID-19.
- The researchers developed an AI model that could predict which existing drugs or drug candidates might be effective against SARS-CoV-2, the virus that causes COVID-19.
- The model identified several promising drug candidates, including some that are already approved for other uses, that warrant further investigation as potential COVID-19 treatments.