
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. This so-called metabolic BMI shows that people of normal weight with a high metabolic BMI have up to a fivefold higher risk of metabolic disease. The findings have been published in the journal Nature Medicine.
The conventional body mass index, calculated using height and weight, may indicate overweight but does not reflect how healthy or unhealthy body fat actually is...
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