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AI could speed up cancer testing for digestive tumors

NCT ID NCT07274579

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is developing and testing an AI model that automatically interprets CLDN18.2 protein levels in digestive system tumors. Researchers will use thousands of pathology samples from multiple hospitals to see if the AI can read test results as accurately as human experts. The goal is to make CLDN18.2 testing more consistent and efficient, which could help guide personalized treatment decisions.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
deep learning-based automatic interpretation model
What this could lead to
If successful, this could provide a reliable, automated way to read CLDN18.2 tests, helping doctors choose targeted treatments for digestive cancers.
What could go wrong
This is an early-stage validation study, not a treatment trial. The AI model may not perform well in all real-world settings or on different types of samples.

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 2,000 people

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

Started

Oct 2025

Expected to finish

Aug 2028

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

Inclusion criteria comprised patients aged over 18 years with definitive pathological diagnoses.

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: 1. Age over 18 years. 2. Patients who underwent CLDN18.2 immunohistochemistry and H\&E staining. 3. Availability of complete pathology reports and clinical information. Exclusion Criteria: 1.Patients with missing data or specimens not meeting quality control requirements for analysis.

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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.

  1. The places running it

    2 sites. The list below names each one and where it is.

  2. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    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

  • Nanfang Hospital, Southern Medical University

    Guangzhou, Guangdong, 510515, China

  • Qianfoshan Hospital

    Jinan, Shandong, 250014, China