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AI could revolutionize cancer diagnosis with new pathology model

NCT ID NCT07157618

Knowledge-focused Sponsor: Nanfang Hospital, Southern Medical University 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is developing an artificial intelligence (AI) model to help doctors diagnose cancer more accurately by analyzing pathology slides and patient data. Researchers will collect information from 2000 adults with various cancers to train and test the AI. The goal is to create a tool that can grade tumors, classify molecular subtypes, and guide chemotherapy decisions, ultimately improving patient care.

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 pathology foundation model
What this could lead to
If successful, this could lead to a more accurate and efficient AI tool to help pathologists diagnose cancer and guide treatment decisions.
What could go wrong
This is an early-stage development study. The AI model may not perform well enough in real-world settings, and results may not apply to all cancer types or populations.

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

Aug 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 18-75 years with definitive pathological diagnoses. All cases were prospectively collected from Nanfang Hospital, Southern Medical University (NFHSMU) .

Ages

18 to 75 years

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. Aged 18-75 years old. 2. Patients with complete pathological slides 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.

cancer

As listed by the trial registrant

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

Pancancer

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

    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

  • Nanfang Hospital, Southern Medical University

    RECRUITING

    Guangzhou, Guangdong, 510515, China

  • Qianfoshan Hospital

    RECRUITING

    Jinan, Shandong, 250014, China

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