Face photos test to measure biological aging with AI for healthy adults
Official title: Artificial Intelligence-Based Phenotyping of Health From Photographs - Healthy Volunteer Study
Run by Brigham and Women's Hospital · NCT07719049 · Data updated 2026-11-12
Researchers will use FaceAge, an AI-based tool that estimates biological age from a frontal face photo, to see how its estimates vary over time in healthy adults and what factors might influence them.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 10000 (estimated) |
| Sponsor | Brigham and Women's Hospital Academic / other |
| Locations | 1 site (Boston, Massachusetts) |
| Status | Recruiting |
| Started | October 23, 2025 |
| Main results expected | October 2027 |
| Study ends | October 2027 |
| Registry record updated | August 17, 2026 |
| Trial ID | NCT07719049 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Healthy adults aged 18 and older who can provide informed consent and comply with study instructions.
✕Probably not a fit
Participants with active skin conditions or recent facial injuries that affect appearance, or those unable to follow instructions, may have limited personal benefit.
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 examines how FaceAge estimates change at different time points in healthy adults and identifies factors that affect these estimates. It aims to assess the consistency and reliability of the FaceAge algorithm and explore potential improvements. The study uses frontal face photographs collected under standard conditions and considers variables such as image quality and lighting. Brigham and Women’s Hospital leads the project with Boston-area collaboration. The findings could inform how facial-aging biomarkers are used in research and clinical contexts.
Why it matters
Potential benefit: If successful, the study could improve the reliability of AI-based facial aging measures for research and health assessments.
How similar studies have gone: Previous work has explored AI-based facial aging estimates, but this study specifically evaluates reliability across time points in healthy volunteers.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * The protocol enrolls healthy volunteers from the adult (age 18 and above) general population. All races and genders will be included. Exclusion Criteria: * Any skin condition or recent facial injury that could affect facial appearance. * Inability to follow study instructions or provide informed consent. * Taking new or strong medication on the day of image capture could potentially affect appearance or alertness.
Where it's running
-
Brigham and Women's Hospital
Boston, Massachusetts, United States Recruiting
Study contacts
- Study coordinator: Raymond Mak, MD
- Email: bwhfaceage@mgb.org
- Phone: (617) 632-5734
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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.