Engineering

New Computer Model Predicts Gut Metabolites to Better Understand Gastrointestinal Disease

MEDFORD/SOMERVILLE, Mass-- Tufts University School of Engineering researchers and collaborators from Texas A&M University have published the first research to use computational modeling to predict and identify the metabolic products of gastrointestinal (GI) tract microorganisms. Understanding these metabolic products, or metabolites, could influence how clinicians diagnose and treat GI diseases, as well as many other metabolic and neurological diseases increasingly associated with compromised GI function.

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