Subclassification of obesity for precision prediction of cardiometabolic diseases
Nature Medicine, Published online: 24 October 2024; doi:10.1038/s41591-024-03299-7
A precision medicine approach used unsupervised clustering to identify five distinct phenotypic profiles that can better predict risks of cardiometabolic disease compared with those ascertained based on the additive value of body mass index and other biomarkers, and validated these findings across four independent cohorts.
Subclassification of obesity for precision prediction of cardiometabolic diseases
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