Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project
NCT05479617 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 400
Last updated 2025-02-27
Summary
In patients achieving clinical remission following a flare, artificial intelligence can reliably predict a new flare within the next 12 months utilizing clinical and objective information at day 0 and week 8.
Secondary endpoints:
* An artificial intelligence model's precision in predicting a new flare within 2 and 3 years
* An artificial intelligence model's precision to rule out patients who will not experience a new flare within 1, 2 and 3 year
Conditions
Interventions
- OTHER
-
Deep learning model
Use of deep learning model to predict individual patients disease course
Sponsors & Collaborators
-
Copenhagen University Hospital, Hvidovre
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-06-20
- Primary Completion
- 2025-12-31
- Completion
- 2026-07-31
Countries
- Denmark
Study Locations
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