AI and data science aim to predict IBD treatment shifts
NCT ID NCT05733702
First seen Jun 25, 2026 · Last updated Jun 26, 2026 · Updated 2 times
Summary
This study is collecting health data, voice recordings, and biological samples from 100 IBD patients in Luxembourg (part of a larger 800-person study across Europe). Researchers hope to find patterns that can predict when a patient's treatment needs to change. The goal is to use artificial intelligence and data science to improve personalized care for Crohn's disease and ulcerative colitis.
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 help doctors predict when IBD patients need a treatment change, leading to more personalized and timely care.
- What could go wrong
- This is an observational study, not testing a new treatment. It may not find clear markers, and results may not apply to all patients.
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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
-
Centre Hospitalier de Luxembourg (CHL)
RECRUITINGLuxembourg, L-1210, Luxembourg
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Other studies related to the condition(s) this trial covers.
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