Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project
Recruiting · NCT05479617 · Observational (researchers observe without assigning treatment) · Lead sponsor: Copenhagen University Hospital, Hvidovre
View the official record on ClinicalTrials.gov →Interventions studied
Deep learning model
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
Who can take part
Age range
18 Years and older
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
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
Where it is running
1 location listed.
- Gastrounit, medical section, Copenhagen University Hospital Hvidovre - Hvidovre, Denmark, Denmark