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.
Disclaimer
Read more
Show less
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.
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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for COLORECTAL CANCER are added.
By submitting, you agree to our Terms of use
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
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
Hopital Avicenne, Centre de Recherche sur Volontaire
RECRUITINGBobigny, 93000, France
Contact Email: •••••@•••••
Contact Email: •••••@•••••