Combining Wearables With Blood Proteins Sharpens Biological Age Tests
Graded Preliminary — preprint modelling study using UK Biobank proteomic and wearable data, not yet peer-reviewed, with drug links based on associations rather than trials.
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This research suggests that combining wearable data with blood biomarkers may give a clearer picture of biological aging.
Researchers built a new biological age model that combines blood protein data with wearable device readings. It predicted mortality risk better than either tool alone and cut prediction error by 21%. The model also flagged common drugs like GLP-1 agonists and ACE inhibitors as linked to a younger biological age in specific organ systems.
Disclaimer: Research summaries are provided for informational purposes only and do not constitute medical advice. Always consult a qualified healthcare professional before making changes to your health routine.