Trials / Unknown
UnknownNCT05588921
LensAge to Reveal Biological Age
A Deep Learning-based Indicator to Reveal Biological Age Using Lens Photographs
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 6,000 (estimated)
- Sponsor
- Sun Yat-sen University · Academic / Other
- Sex
- All
- Age
- 20 Years – 100 Years
- Healthy volunteers
- Accepted
Summary
Assessment of aging is central to health management. Compared to chronological age, biological age can better reflect the aging process and health status; however, an effective indicator of biological age in clinical practice is lacking. Human lens accumulates biological changes during aging and is amenable to a rapid and objective assessment. Therefore, the investigators will develop LensAge as an innovative indicator to reveal biological age based on deep learning using lens photographs.
Conditions
Timeline
- Start date
- 2020-01-01
- Primary completion
- 2022-12-30
- Completion
- 2022-12-30
- First posted
- 2022-10-20
- Last updated
- 2022-10-21
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT05588921. Inclusion in this directory is not an endorsement.