AI and poop analysis could revolutionize colon cancer screening
NCT ID NCT06174233
First seen Jun 26, 2026 · Last updated Jun 26, 2026
Summary
This study looks at whether analyzing the bacteria in stool samples with artificial intelligence can better predict colorectal cancer risk than the standard stool test. Researchers will collect samples from 2,500 people aged 50-75 who are already scheduled for a colonoscopy. The goal is to see if this new method can more accurately identify who truly needs a colonoscopy, potentially reducing unnecessary procedures.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a more accurate, non-invasive screening test for colorectal cancer, reducing unnecessary colonoscopies.
- What could go wrong
- This is an observational study, not a treatment trial. The new test may not prove more accurate than current methods, and results may not apply to all populations.
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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Hopital Avicenne, Centre de Recherche sur Volontaire
RECRUITINGBobigny, 93000, France
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