Observational Study on Urine Metabolites for GI Disease Diagnosis
This study is looking for volunteers to help develop a new, non-invasive (meaning it doesn't involve surgery or needles) way to diagnose different gastrointestinal (GI) diseases using a urine sample. Researchers want to see if they can use artificial intelligence to detect specific patterns in your urine that could identify conditions like colorectal cancer, small intestinal bacterial overgrowth (SIBO), Crohn's disease, and Celiac disease. The main goals are to see if this urine test can find a "disease signal" for each condition and how well it performs compared to healthy individuals. You can join if you are at least 18 years old and willing to provide a one-time urine sample.
- Study design
- This is an observational study, meaning no interventions are given. It aims to enroll 1250 participants.
- What's involved
- You would need to provide a one-time urine sample and comply with all study procedures. The study involves understanding procedures and providing consent.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your samples will be analyzed from the date of enrollment up to 100 weeks.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Urine Metabolites in the Diagnosis of Disease
At a glance
Conditions
Where it's being run
4 sites across 1 statesStudy leadership
- John Spinosa, MD, PhD · PRINCIPAL_INVESTIGATOR · Luventix, Inc.
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Disease signal detectionFrom date of enrollment to the end of sample analysis, up to 100 weeks
Disease signal detection quantification within each disease cohort, compared to normal controls.
- Test performance measuresFrom date of enrollment to the end of sample analysis, up to 100 weeks
Sensitivity and specificity/false-positive rate