Relations of Artificial Intelligence Vascular Age With Cardiometabolic Disease Progression: The Framingham Heart Study
David J Hamel‐Sellman, Brenton R Prescott, Timothy J Korzinski, Vanessa Xanthakis, Leroy L Cooper, Naomi M Hamburg, Connie W Tsao, Emelia J Benjamin, Ramachandran S Vasan, Gary F Mitchell · 2025
Read Relations of Artificial Intelligence Vascular Age With Cardiometabolic Disease Progression: The Framingham Heart Study by David J Hamel‐Sellman, Brenton R Prescott, Timothy J Korzinski, Vanessa Xanthakis, Leroy L Cooper, Naomi M Hamburg, Connie W Tsao, Emelia J Benjamin, Ramachandran S Vasan, Gary F Mitchell (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12826898.txt.
Description
David Hamel-Sellman and co-authors test whether an AI estimate of artery age forecasts metabolic disease in this 2025 study. The estimate reads aortic stiffness from standard signals. Stiff arteries push pulse pressure into small vessels, which may disturb how the body handles food and sugar after meals.
The data came from 7,188 people in the Framingham Heart Study, followed across visits six years apart. People whose arteries read older than their years faced higher risk of new high blood pressure, diabetes, lipid problems, and obesity. Two-way models showed the traffic runs in both directions: worse sugar, fat, and pressure readings also aged the arteries faster, a self-feeding loop. Most heart events occurred in people who had collected at least two metabolic conditions. The authors propose the artery age score as a screening tool that could catch risk early.
Catalog record
| CREATOR | David J Hamel‐Sellman, Brenton R Prescott, Timothy J Korzinski, Vanessa Xanthakis, Leroy L Cooper, Naomi M Hamburg, Connie W Tsao, Emelia J Benjamin, Ramachandran S Vasan, Gary F Mitchell |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |