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Can routine health Check-Ups and AI predict disease and aging?

NCT ID NCT07761676

Knowledge-focused Sponsor: Peking University Third Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 100,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Feb 2025

Expected to finish

Dec 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population consists of individuals who voluntarily undergo health examinations at the Physical Examination Center of Peking University Third Hospital. Participants are recruited from group health examination populations (including employees from functional community units such as government agencies, schools, and enterprises) who have undergone at least two consecutive health examinations at the center. The study includes both retrospective and prospective participants, with long-term follow-up and biospecimen collection (serum) stored in the hospital's biobank.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show 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 years. Participants must be from group health examination populations who have undergone at least two consecutive health examinations at our Physical Examination Center. Exclusion Criteria: * Failure to provide informed consent. Incomplete data, including incomplete health examination self-administered questionnaires.

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Conditions

The condition(s) this trial relates to.

Multiple Chronic Conditions

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Large-scale health examination cohort Multiple chronic conditions (unspecified)

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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

Locations

  • Physical Examination Center, Peking University Third Hospital

    RECRUITING

    Beijing, Beijing Municipality, 100191, China