Promising but preliminary

Unsupervised characterization of 100,272 EHR patients identifies high-risk groups and comorbidities linked to premature aging

Data mining of medical records uncovers hidden patient subgroups, enabling more tailored treatment strategies.

What the study was

A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.