Longevity Metrics AI/ML Development Study
Official title: Longevity Metrics AI/ML Development Study: A Standing Data Library and Model-Development Platform for Predicting and Validating Health Measurements, Longevity, and Disease
Run by Longevity Metrics, Inc. · NCT07808619 · Data updated 2026-11-12
Researchers are testing AI models that score health screening tests and predict outcomes like life expectancy for adults, using ongoing follow-up data.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1000000 (estimated) |
| Sponsor | Longevity Metrics, Inc. Industry-sponsored |
| Locations | 1 site (Boulder, Colorado) |
| Status | Recruiting |
| Started | August 8, 2026 |
| Main results expected | December 31, 2099 |
| Study ends | December 31, 2099 |
| Registry record updated | September 9, 2026 |
| Trial ID | NCT07808619 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18 and older who are willing to participate and provide follow-up data.
✕Probably not a fit
Individuals who do not consent or who are unable to participate in long-term follow-up may not benefit from the study findings.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study develops AI models to score physical and cognitive screening tests from both traditional scoring and video data, aiming to predict test results, clinical judgment, and mortality. Tests such as sit-to-stand, timed walk, and other screenings are collected and scored, with richer metrics extracted from recordings. The models learn correlations among tests to estimate missing results and are validated against human scorers before potential clinical use, with long-term follow-up to observe death and disease outcomes. Participation involves a life-long follow-up and ongoing data collection, leveraging mortality as a key endpoint to improve predictive power beyond traditional cohorts.
Why it matters
Potential benefit: If successful, the models could improve early risk prediction and help tailor preventive health strategies for adults.
How similar studies have gone: Previous approaches have shown promise in using AI to enhance screening test interpretation, though leveraging lifelong mortality data is relatively novel in this context.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age \>= 18 * willing to participate in the study Exclusion Criteria: * Age \< 18 years
Where it's running
-
Longevity Metrics
Boulder, Colorado, United States Recruiting
Study contacts
- Principal investigator: William E Brandenburg, MD — Longevity Metrics, Inc.
- Study coordinator: William E Brandenburg, MD
- Email: info@longevitymetrics.org
- Phone: 3035010016
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.