Can routine health Check-Ups and AI predict disease and aging?
NCT ID NCT07761676
First seen Aug 12, 2026 · Last updated Aug 13, 2026 · Updated 1 time
Summary
This observational study will follow 100,000 adults who get regular health check-ups at Peking University Third Hospital. Researchers will collect blood, urine, imaging, and questionnaire data to build a large biobank. Using artificial intelligence, they hope to create models that predict disease risk from standard check-up results, including retinal photographs. The study also aims to measure biological age using telomere length and other molecular markers, comparing it to chronological age to understand what drives healthy aging.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to AI-based tools that predict disease risk from routine health check-ups and retinal photos, enabling earlier screening and personalized prevention. It may also uncover factors that influence biological aging.
- What could go wrong
- This is an observational study, so it cannot prove cause and effect. The findings may not apply to people outside this specific health check-up population, and the AI models will need validation before they can be used in practice.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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.
Contacts and locations
Locations
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Physical Examination Center, Peking University Third Hospital
RECRUITINGBeijing, Beijing Municipality, 100191, China