Inflammatory bowel disease (IBD) is a complex and multifaceted disorder of the
gastrointestinal tract that is increasing in incidence worldwide and associated with …

Artificial intelligence (AI) has arrived and it will directly impact how we assess, monitor, and
manage inflammatory bowel disease (IBD). Advances in the machine learning …

The rise of machine learning in healthcare has significant implications for paediatrics. Long-
term conditions with significant disease heterogeneity comprise large portions of the routine …

Despite huge advances in understanding the molecular basis of IBD, clinical management
has continued to rely on a “trial and error” approach. In addition, a therapeutic ceiling has …

Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …

Background and Aims Intestinal strictures are a common complication of Crohn's disease
(CD). Biomarkers of intestinal strictures would assist in their prediction, diagnosis, and …

Various extrinsic and intrinsic factors such as drug exposures, antibiotic treatments,
smoking, lifestyle, genetics, immune responses, and the gut microbiome characterize …

Studying individual data types in isolation provides only limited and incomplete answers to
complex biological questions and particularly falls short in revealing sufficient mechanistic …

Crohn's disease (CD) is an inflammatory bowel disease (IBD) with complex clinical
manifestations such as chronic diarrhea, weight loss and hematochezia. Despite the …

Background Despite its efficacy, rational guidance for starting/stopping first-line biologic
treatment in individual paediatric Crohn's disease [CD] patients is needed. We assessed …