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Personalised Prediction Of Disease Course In Ulcerative Colitis Using Multimodal Machine Learning - Part Of The Presager Project

Personalised Prediction Of Disease Course In Ulcerative Colitis Using Multimodal Machine Learning - Part Of The Presager Project

Recruiting
18 years and older
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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

Eligibility

Inclusion criteria:

  • Signed informed consent
  • Diagnosis of UC for at least 1 year
  • Relapse due to UC.
  • First endoscopic and histological evaluation of the flare Exclusion criteria
  • Well-founded doubt that the flare is due to other than the patients UC

Study details
    Ulcerative Colitis

NCT05479617

Copenhagen University Hospital, Hvidovre

26 January 2024

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