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Clustering of patients with prediabetes using simple clinical features reveals six distinct groups with differing risk of developing type 2 diabetes and its associated complications.
The functional magnetic resonance imaging connectivity pattern of tonic experimental orofacial pain can be used as a quantitative and unbiased biomarker of clinical pain.
Retrospective analysis of 18F-FDG PET/CT scans from over 50,000 patients reveals correlations between presence of brown adipose tissue and lower odds of having cardiometabolic conditions, such as type 2 diabetes, cardiovascular disease and hypertension.
Single-cell analysis of gastric cancer samples tracks the cell of origin of metastatic lesions and identifies an independent prognostic signature of the clinical outcome.