AI tool finds biological signals in the gut microbiome that other methods miss, may flag early signs of disease

University of Missouri researchers are using artificial intelligence to uncover hidden clues among the trillions of bacteria living in the human gut, including changes that could one day help scientists detect diseases earlier. The Mizzou team—which brings together expertise in medicine, data science and engineering—developed a new machine-learning tool capable of finding biological signals that conventional methods miss. Their paper is published in the journal mSystems.

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