首页|Aristotle University of Thessaloniki Reports Findings in Machine Learning (Predi cting the immunomodulatory activity of probiotic lactic acid bacteria using supe rvised Machine Learning in a Cornu aspersum snail model)
Aristotle University of Thessaloniki Reports Findings in Machine Learning (Predi cting the immunomodulatory activity of probiotic lactic acid bacteria using supe rvised Machine Learning in a Cornu aspersum snail model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Thessaloniki, Greece, by NewsRx correspondents, research stated, “In the process ofscreening for prob iotic strains, there are no clearly established bacterial phenotypic markers whi ch could beused for the prediction of their in vivo mechanism of action. In thi s work, we demonstrate for the first timethat Machine Learning (ML) methods can be used for accurately predicting the in vivo immunomodulatoryactivity of prob iotic strains based on their cell surface phenotypic features using a snail host -microbeinteraction model.”
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