OU-led research team uses AI to predict coronavirus strains in bats
A University of Oklahoma professor is leading a team that uses artificial intelligence to better understand bat populations and predict betacoronavirus transmission to humans.
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A University of Oklahoma professor is leading a team that uses artificial intelligence to better understand bat populations and predict betacoronavirus transmission to humans.
The origins of COVID-19 aren't fully understood, but bats are a main suspect. An OU professor is leading a team using artificial intelligence to better understand bat populations and predict virus transmission to humans.
Daniel Becker, an assistant professor of biology in the University of Oklahoma's Dodge Family College of Arts and Sciences, has been leading a proactive modeling study over the last year and a half to identify bat species that are likely to carry betacoronaviruses, including but not limited to SARS-like viruses.
Daniel Becker, an assistant professor of biology in the University of Oklahoma’s Dodge Family College of Arts and Sciences, has been leading a
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