Canine chronic enteropathy—Current state-of-the-art and emerging concepts
AE Jergens, RM Heilmann - Frontiers in Veterinary Science, 2022 - frontiersin.org
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 …
attention in the basic and clinical research arena. The 2010 ACVIM Consensus Statement …
The role of artificial intelligence in deciphering diet–disease relationships: case studies
Modernization of society from a rural, hunter-gatherer setting into an urban and industrial
habitat, with the associated dietary changes, has led to an increased prevalence of …
habitat, with the associated dietary changes, has led to an increased prevalence of …
[HTML][HTML] Cross-scale multi-instance learning for pathological image diagnosis
Analyzing high resolution whole slide images (WSIs) with regard to information across
multiple scales poses a significant challenge in digital pathology. Multi-instance learning …
multiple scales poses a significant challenge in digital pathology. Multi-instance learning …
Identification of useful genes from multiple microarrays for ulcerative colitis diagnosis based on machine learning methods
L Zhang, R Mao, CT Lau, WC Chung, JCP Chan… - Scientific reports, 2022 - nature.com
Ulcerative colitis (UC) is a chronic relapsing inflammatory bowel disease with an increasing
incidence and prevalence worldwide. The diagnosis for UC mainly relies on clinical …
incidence and prevalence worldwide. The diagnosis for UC mainly relies on clinical …
Identifying endotypes of individuals after an attack of pancreatitis based on unsupervised machine learning of multiplex cytokine profiles
After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset
diabetes) and/or pancreatic cancer. These new-onset morbidities are, at least in part, driven …
diabetes) and/or pancreatic cancer. These new-onset morbidities are, at least in part, driven …
Artificial‐intelligence‐based decision support tools for the differential diagnosis of colitis
P Guimarães, H Finkler, MC Reichert… - European Journal of …, 2023 - Wiley Online Library
Abstract Background Whereas Artificial Intelligence (AI) based tools have recently been
introduced in the field of gastroenterology, application in inflammatory bowel disease (IBD) …
introduced in the field of gastroenterology, application in inflammatory bowel disease (IBD) …
Impact of artificial intelligence on prognosis, shared decision-making, and precision medicine for patients with inflammatory bowel disease: a perspective and expert …
P Pinton - Annals of Medicine, 2023 - Taylor & Francis
Introduction Artificial intelligence (AI) is expected to impact all facets of inflammatory bowel
disease (IBD) management, including disease assessment, treatment decisions, discovery …
disease (IBD) management, including disease assessment, treatment decisions, discovery …
Cross-scale attention guided multi-instance learning for crohn's disease diagnosis with pathological images
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 …
pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise …
Performance of machine learning algorithms for predicting disease activity in inflammatory bowel disease
W Cai, J Xu, Y Chen, X Wu, Y Zeng, F Yu - Inflammation, 2023 - Springer
This study aimed to explore the effectiveness of predicting disease activity in patients with
inflammatory bowel disease (IBD), using machine learning (ML) models. A retrospective …
inflammatory bowel disease (IBD), using machine learning (ML) models. A retrospective …
Machine Learning‐Based Quantification of Patient Factors Impacting Remission in Patients With Ulcerative Colitis: Insights from Etrolizumab Phase III Clinical Trials
Etrolizumab, an investigational anti‐β7 integrin monoclonal antibody, has undergone
evaluation for safety and efficacy in phase III clinical trials on patients with moderate to …
evaluation for safety and efficacy in phase III clinical trials on patients with moderate to …