Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

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 …

Polygenic risk scores (PRSs) have been among the leading advances in biomedicine in
recent years. As a proxy of genetic liability, PRSs are utilised across multiple fields and …

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

Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes:
Crohn's disease and ulcerative colitis. Considering the differences in pathogenesis, etiology …

Interest in artificial intelligence (AI) applications for ulcerative colitis (UC) has grown
tremendously in recent years. In the past 5 years, there have been over 80 studies focused …

Background Knee osteoarthritis is the most prevalent chronic musculoskeletal debilitating
disease. Current treatments are only symptomatic, and to improve this, we need a robust …

Abstract Background and Objective: Recurrent attentive non-invasive observation of
intestinal inflammation is essential for the proper management of Crohn's disease (CD). The …

There is a rising interest in use of big data approaches to personalize treatment of
inflammatory bowel diseases (IBDs) and to predict and prevent outcomes such as disease …

Gut microbiota has been implicated in various clinical conditions, yet the substantial
heterogeneity in gut microbiota research results necessitates a more sophisticated approach …