Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project
NCT ID: NCT05479617
Last Updated: 2025-02-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
400 participants
OBSERVATIONAL
2022-06-20
2026-07-31
Brief Summary
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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
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Deep learning model
Use of deep learning model to predict individual patients disease course
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of UC for at least 1 year
* Relapse due to UC.
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Copenhagen University Hospital, Hvidovre
OTHER
Responsible Party
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Bobby Lo
Principal Investigator
Locations
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Gastrounit, medical section, Copenhagen University Hospital Hvidovre
Hvidovre, Denmark, Denmark
Countries
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Facility Contacts
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Related Links
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The description is in Danish
Other Identifiers
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H-21020965
Identifier Type: -
Identifier Source: org_study_id
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