Where should we be looking for the next SARS-like virus? AI offers clues
Machine learning can help shortlist animal hosts that need further monitoring
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Machine learning can help shortlist animal hosts that need further monitoring
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.
An international research team of scientists has demonstrated the power of Artificial Intelligence (AI) to predict which viruses could infect humans, like the Covid virus and which animals host them, and where they could emerge.
Daniel Becker, an assistant professor of biology in the University of Oklahoma’s Dodge Family College of Arts and Sciences, has been leading a
An international research team of scientists has demonstrated the power of Artificial Intelligence (AI) to predict which viruses could infect humans, like the Covid virus and which animals host them, and where they could emerge.