Can AI predict your lifespan from a short video?
NCT ID NCT07808619
First seen Sep 09, 2026 · Last updated Sep 10, 2026 · Updated 1 time
Summary
Researchers are building AI models that score standard physical and cognitive screening tests from video and audio, and that predict results a person did not obtain. The study enrolls adults 18 and older and follows them for life, linking records to a long-term aging study to check predictions against death and disease. The goal is to see whether a few short video clips can eventually replace most in-person screening, reaching people and places a physical lab cannot. Every model output is a physician-reviewed decision aid, not a diagnosis.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- AI-scored video and audio health screening battery
- What this could lead to
- If it works, preventive screening could reach people and places without a physical lab, using a few short video clips to estimate health and longevity.
- What could go wrong
- The models are clinical decision aids, not diagnoses, and every output needs a physician's confirmation. Predicting life expectancy and disease from video may not prove accurate enough to replace in-person tests.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 1,000,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Aug 2026
- Expected to finish
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Dec 2099
An estimate. End dates often move.
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Participants enrolled in the 100-Year Human Aging Study (NCT07563777) through the unified consent, receiving any Longevity Metrics health screening service at any fixed, mobile, or remote (online) site, current and future. Participants are self-selected community members of all health statuses; no exclusions based on health status, diagnosis, or population group. This study adds no separate enrollment: all records analyzed and all prospective measurements collected under this protocol arise from participants consented under the associated protocols. Participants are followed for life, with mortality, incident disease, and functional-status outcomes ascertained through linkage to the 100-Year Human Aging Study.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Age \>= 18 * willing to participate in the study Exclusion Criteria: * Age \< 18 years
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The study's own enquiry address
This study publishes an address for enquiries. See it below .
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
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Study contacts
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Contact
Email: •••••@•••••
Locations
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Longevity Metrics
RECRUITINGBoulder, Colorado, 80301, United States
Contact Email: •••••@•••••
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