AIMC Topic: Colitis, Ulcerative
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Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods.
Scientific reports
Jul 1, 2025
In recent years, the prevalence of chronic diseases such as Ulcerative Colitis (UC) has increased, bringing a heavy burden to healthcare systems. Traditional Chinese Medicine (TCM) stands out for its cost-effective and efficient treatment modalities,...
Enhancing the Predictions of Cytomegalovirus Infection in Severe Ulcerative Colitis Using a Deep Learning Ensemble Model: Development and Validation Study.
JMIR medical informatics
Jul 1, 2025
BACKGROUND: Cytomegalovirus (CMV) reactivation in patients with severe ulcerative colitis (UC) leads to worse outcomes; yet, early detection remains challenging due to the reliance on time-intensive biopsy procedures.
Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.
BMC microbiology
Jun 6, 2025
Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemic metabolic and inflammatory disorders where disrupted gut microbiota composition and function (dysbiosis) has been found in multiple studies. Thus, h...
Machine learning-based characterization of PANoptosis-related biomarkers and immune infiltration in ulcerative colitis: A comprehensive bioinformatics analysis and experimental validation.
International immunopharmacology
Feb 21, 2025
Ulcerative colitis (UC) is a heterogeneous autoimmune condition. PANoptosis, a new form of programmed cell death, plays a role in inflammatory diseases. This study aimed to identify differentially expressed PANoptosis-related genes (PRGs) involved in...
Machine Learning-Assisted High-Throughput Screening of Nanozymes for Ulcerative Colitis.
Advanced materials (Deerfield Beach, Fla.)
Jan 12, 2025
Ulcerative colitis (UC) is a chronic gastrointestinal inflammatory disorder with rising prevalence. Due to the recurrent and difficult-to-treat nature of UC symptoms, current pharmacological treatments fail to meet patients' expectations. This study ...
Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning.
PloS one
Dec 31, 2024
Ulcerative colitis (UC) is an immune-related inflammatory bowel disease, with its underlying mechanisms being a central area of clinical research. O-GlcNAcylation plays a critical role in regulating immunity progression and the occurrence of inflamma...
Integrating single-cell RNA-Seq and machine learning to dissect tryptophan metabolism in ulcerative colitis.
Journal of translational medicine
Dec 20, 2024
BACKGROUND: Ulcerative colitis (UC) is a persistent inflammatory bowels disease (IBD) characterized by immune response dysregulation and metabolic disruptions. Tryptophan metabolism has been believed as a significant factor in UC pathogenesis, with s...
Pathologist-level diagnosis of ulcerative colitis inflammatory activity level using an automated histological grading method.
International journal of medical informatics
Oct 9, 2024
BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) is a global disease that is evolving with increasing incidence. However, there are few works on computationally assisted diagnosis of IBD based on pathological images. Therefore, based on the UK a...
Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence.
United European gastroenterology journal
Aug 31, 2024
Various extrinsic and intrinsic factors such as drug exposures, antibiotic treatments, smoking, lifestyle, genetics, immune responses, and the gut microbiome characterize ulcerative colitis and Crohn's disease, collectively called inflammatory bowel ...
Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis.
The American journal of gastroenterology
Jul 25, 2024
INTRODUCTION: Stool characteristics may change depending on the endoscopic activity of ulcerative colitis (UC). We developed a deep learning model using stool photographs of patients with UC (DLSUC) to predict endoscopic mucosal inflammation.
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