Over the last decade, chronic inflammatory enteropathies (CIE) in dogs have received great
attention in the basic and clinical research arena. The 2010 ACVIM Consensus Statement …

Inflammatory bowel diseases, namely ulcerative colitis and Crohn's disease, are chronic and
relapsing conditions that pose a growing burden on healthcare systems worldwide. Because …

Abstract Machine learning models may outperform traditional statistical regression
algorithms for predicting clinical outcomes. Proper validation of building such models and …

Background Extracting information from free texts using natural language processing (NLP)
can save time and reduce the hassle of manually extracting large quantities of data from …

Analyzing high resolution whole slide images (WSIs) with regard to information across
multiple scales poses a significant challenge in digital pathology. Multi-instance learning …

Inflammatory bowel disease (IBD) is a global health burden which carries lifelong morbidity
affecting all age groups in populations with the disease-specific peak of the age groups …

Introduction Artificial intelligence (AI) is expected to impact all facets of inflammatory bowel
disease (IBD) management, including disease assessment, treatment decisions, discovery …

Multi-instance learning (MIL) is widely used in the computer-aided interpretation of
pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise …

Simple Summary The early detection of behavioural changes based on variations in dairy
cows' daily routines is of paramount importance to the timely identification of the onset of …

Methods This was a simulation-based modeling study using a hypothetical cohort of 5,000
steroid-refractory ASUC patients receiving standard infliximab induction. Simulated …