Investigation of predictive factors for therapeutic efficacy of immunosuppressive therapy for inflammatory bowel disease using machine learning
Not Applicable
Recruiting
- Conditions
- Inflammatory bowel disease
- Registration Number
- JPRN-UMIN000046284
- Lead Sponsor
- Kyorin University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 300
Inclusion Criteria
Not provided
Exclusion Criteria
Patients who don't consent to this study.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method This observational study investigates biomarkers that are useful for predicting the therapeutic efficacy of immunosuppressive therapy for inflammatory bowel disease.
- Secondary Outcome Measures
Name Time Method