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

University of Missouri researchers are utilizing artificial quality to uncover hidden clues among the trillions of bacteria surviving successful the quality gut, including changes that could 1 time assistance scientists observe diseases earlier. The Mizzou team—which brings unneurotic expertise successful medicine, information subject and engineering—developed a caller machine-learning instrumentality susceptible of uncovering biologic signals that accepted methods miss. Their insubstantial is published successful the diary mSystems.