Actively Recruiting

Age: 18Years +
All Genders
NCT05479617

Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project

Led by Copenhagen University Hospital, Hvidovre · Updated on 2025-02-27

400

Participants Needed

1

Research Sites

210 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

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

Official Title

Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Signed informed consent
  • Diagnosis of UC for at least 1 year
  • Relapse due to UC
  • First endoscopic and histological evaluation of the flare
Not Eligible

You will not qualify if you...

  • Well-founded doubt that the flare is due to other than the patients UC

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

Gastrounit, medical section, Copenhagen University Hospital Hvidovre

Hvidovre, Denmark, Denmark, 2650

Actively Recruiting

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How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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