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Researchers Use Machine Learning to Detect Pathogenic Bacteria in Cattle

Discussion in 'AI in the News' started by RSS, Sep 22, 2016.

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    A research team from the University of Edinburgh’s Roslin Institute used computer software to analyze genetic information from both pathogenic and harmless forms of E.coli O157. The team utilized machine learning, a form of artificial intelligence that allows computers to learn and analyze patterns. With this method, the researchers “trained” the computer to discriminate between human and cattle E.coli strains. The computer was then able to use genetic data to predict if a particular bacterial isolate would be pathogenic to humans.

    Published in Nadejda Lupolova et al. Support vector machine applied to predict the zoonotic potential of O157 cattle isolates. Proceedings of the National Academy of Sciences (2016).

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