AI could speed up cancer testing for digestive tumors

NCT ID NCT07274579

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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

digestive system carcinoma

As listed by the trial registrant

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

Contacts and locations

Locations

  • Nanfang Hospital, Southern Medical University

    Guangzhou, Guangdong, 510515, China

  • Qianfoshan Hospital

    Jinan, Shandong, 250014, China