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

No results posted yet for this study

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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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05479617 on ClinicalTrials.gov