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.
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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.
Contacts and locations
Locations
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Nanfang Hospital, Southern Medical University
RECRUITINGGuangzhou, Guangdong, 510515, China
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