AI Is Screening Billions of Molecules for Coronavirus Treatments

Machine learning has pegged existing drugs to repurpose for COVID-19 clinical trials.

Written byAbby Olena, PhD
| 6 min read

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As COVID-19 cases continue to rise, physicians have begun to repurpose existing drugs in an attempt to find something that will help patients get better. In a pilot study at the end of March, 12 adults with moderate COVID-19 admitted to the hospital in either Alessandria or Prato, Italy, received a daily dose of the rheumatoid arthritis drug baricitinib, along with an anti-HIV drug combination of lopinavir and ritonavir, for two weeks. Another study group of 12 received just lopinavir and ritonavir.

After their two-week treatment, the patients who received baricitinib had mostly recovered. Their coughs and fevers were gone; they were no longer short of breath. Seven of the 12 had been discharged from the hospital. In contrast, the group who didn’t get baracitinib still had elevated temperatures, nine were coughing, and eight remained short of breath. Just one patient from the lopinavir-ritonavir–only group had ...

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Meet the Author

  • abby olena

    As a freelancer for The Scientist, Abby reports on new developments in life science for the website. She has a PhD from Vanderbilt University and got her start in science journalism as the Chicago Tribune’s AAAS Mass Media Fellow in 2013. Following a stint as an intern for The Scientist, Abby was a postdoc in science communication at Duke University, where she developed and taught courses to help scientists share their research. In addition to her work as a science journalist, she leads science writing and communication workshops and co-produces a conversational podcast. She is based in Alabama.  

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