AI reads brain tumor slides to predict genetic secrets
NCT ID NCT07263711
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether an artificial intelligence (AI) model can accurately predict genetic changes in gliomas, a type of brain tumor, using digital images of tissue samples. Researchers will collect pathology images and molecular test results from 2,000 adults with suspected glioma across multiple hospitals. The AI's predictions will be compared to standard lab tests to see if it can provide faster, cheaper diagnosis without extra procedures for participants.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- artificial intelligence (AI) model
- What this could lead to
- If successful, this could lead to faster and cheaper genetic testing for brain tumors, improving access to precision medicine.
- What could go wrong
- This is an observational study, not a treatment trial. The AI may not be accurate enough to replace standard tests, and results may vary across hospitals.
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
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About 2,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Sep 2025
- Expected to finish
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Sep 2030
An estimate. End dates often move.
- Lead sponsor
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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
This study will include adult participants (aged 18 years or older) who have been diagnosed with or are suspected to have diffuse glioma based on biopsy or surgical resection. Participants must have available hematoxylin and eosin (H\&E)-stained digital pathology slides and complete clinical and molecular testing data. All participants will be patients who have received standard medical care for glioma. No additional treatments or interventions will be performed as part of this study. Pathology images and molecular testing results will be collected prospectively from multiple clinical centers to evaluate the diagnostic performance of the AI-based pathology model.
- Ages
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18 to 100 years
- Sex
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Anyone
- Healthy volunteers
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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 Hide 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: * Participant (or legally authorized representative) has voluntarily signed the informed consent form. * Age ≥ 18 years at the time of enrollment. * Histologically suspected diffuse glioma based on biopsy or surgical resection. * Availability of complete clinical information and usable digital pathology slides with hematoxylin and eosin (H\&E) staining. * Postoperative molecular pathology results available for comparison. Exclusion Criteria: * Poor-quality pathology samples (e.g., insufficient tissue, large folding or contamination of slides, or substandard digital scanning quality). * Determined by the investigator to be unsuitable for participation in the study for any reason.
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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.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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
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Nanfang Hospital, Southern Medical University
RECRUITINGGuangzhou, Guangdong, 510515, China
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