New computer model predicts gut metabolites to better understand gastrointestinal disease
Tufts University School of Engineering researchers and collaborators from Texas A&M University have published the first research to use computational modelling 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 […]
