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Metabolic BMI model uses AI to reveal hidden metabolic disorders
Researchers at Leipzig University and the University of Gothenburg have developed a novel approach to assessing an individual's risk of metabolic diseases such as diabetes or fatty liver disease more precisely. Instead of relying solely on the widely used body mass index (BMI), the team developed an AI-based computational model using metabolic measurements. Systems view of metabolic obesity: integrating multi-organ and multi-omics signatures. Credit: Nature Medicine (2026). D


AI body composition measurements have the potential to predict cardiometabolic risk
A study by researchers at Mass General Brigham and their colleagues, has found that an artificial intelligence (AI) tool designed to...


AI helps researchers to demystify gut bacteria
Researchers from the University of Tokyo have used a special kind of artificial intelligence (AI) called a Bayesian neural network to...


3D body scanner with AI can predict metabolic syndrome risk
Mayo Clinic researchers are using artificial intelligence (AI) with an advanced 3D body-volume scanner to help doctors predict metabolic...
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