← brief for 2026-09-30 · Mind-body

A Deep-Learning Based Biomarker of Systemic Cellular Senescence Burden to Predict Mortality and Health Outcomes.

Key takeaways

This study created a score to measure how much the body is aging at the cell level. It used blood tests to track this aging process. The results showed that a higher score was linked to a higher risk of death. This is an observational study, so it shows a link, not proof of cause.

Who did this work

Zhao S (UConn Center on Aging, UConn Health, Farmington, Connecticut, USA.) · Kuo CL (UConn Center on Aging, UConn Health, Farmington, Connecticut, USA.) · Lenze EJ (Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.) · Wetherell JL (Department of Psychiatry, University of California San Diego, San Diego, California, USA.) · Haynes L (UConn Center on Aging, UConn Health, Farmington, Connecticut, USA.) · El-Ahmad P (UConn Center on Aging, UConn Health, Farmington, Connecticut, USA.) · Fortinsky R (UConn Center on Aging, UConn Health, Farmington, Connecticut, USA.) · Kuchel G (UConn Center on Aging, UConn Health, Farmington, Connecticut, USA.) · Harris T (Department of Statistics, University of Connecticut, Storrs, Connecticut, USA.) · Diniz BS (UConn Center on Aging, UConn Health, Farmington, Connecticut, USA.)

Source

Article · Europe PMC, CKD mind-body · 2026-10-01
https://doi.org/10.1111/acel.70737