BACKGROUND Traditional methods of developing predictive models in inflammatory bowel
diseases (IBD) rely on using statistical regression approaches to deriving clinical scores …

Background & Aims Tools for stratification of relapse risk of Crohn's disease (CD) after anti–
tumor necrosis factor (TNF) therapy cessation are needed. We aimed to validate a …

Background Anti-tumor necrosis factor (TNF) therapy is effective for the treatment of Crohn's
disease. Cessation may be considered in patients with a low risk of relapse. We aimed to …

Background The impact of relapses on disease burden in Crohn's disease (CD) warrants
searching for predictive factors to anticipate relapses. This requires analysis of large …

Importance Biological therapies have revolutionized inflammatory bowel disease
management, but many patients do not respond to biological monotherapy. Identification of …

A machine-learning based risk score to predict response to therapy in Crohn’s disease via
baseline MRE Page 1 A machine-learning based risk score to predict response to therapy in …

Background Infliximab (IFX) has revolutionised the treatment for Crohn's disease (CD)
recently, while a part of patients show no response to it at the end of the induction period …

Background Nonresponse and loss of response to anti‐TNF therapies in Crohn's disease
represent significant clinical problems for which clear management guidelines are lacking …

Summary Background Early treatment for Crohn's disease (CD) with immunomodulators
and/or anti‐TNF agents improves outcomes in comparison to a slower 'step up'algorithm …

Purpose The aim of our study was to identify clinical parameters in recently diagnosed
Crohn's disease (CD) patients for prediction of their disease course. Methods EPIC (Early …