AIMC Topic: Colitis, Ulcerative

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Identification of Diagnosis and Typological Characteristics Associated with Ferroptosis for Ulcerative Colitis Bioinformatics and Machine Learning.

Endocrine, metabolic & immune disorders drug targets Jan 1, 2024
OBJECTIVE: To investigate and validate ferroptosis genes (FRGs) in ulcerative colitis (UC) for diagnostic, subtype, and biological agent reactivity, with the goal of providing a foundation for the identification of novel therapeutic targets and the r...
Gene Expression Profiling Gene Regulatory Networks Computational Biology Humans Machine Learning Ferroptosis Colitis, Ulcerative Infliximab Nomograms Databases, Genetic
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Single-cell dissection, hdWGCNA and deep learning reveal the role of oxidatively stressed plasma cells in ulcerative colitis.

Acta biochimica et biophysica Sinica Nov 25, 2023
Ulcerative colitis (UC) develops as a result of complex interactions between various cell types in the mucosal microenvironment. In this study, we aim to elucidate the pathogenesis of ulcerative colitis at the single-cell level and unveil its clinica...
Gene Expression Profiling Intestinal Mucosa Humans Deep Learning Colitis, Ulcerative Plasma Cells
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Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning.

Inflammatory bowel diseases Sep 1, 2023
BACKGROUND: Assessment of endoscopic activity in ulcerative colitis (UC) is important for treatment decisions and monitoring disease progress. However, substantial inter- and intraobserver variability in grading impairs the assessment. Our aim was to...
Humans Reproducibility of Results Colonoscopy Colitis, Ulcerative Intestinal Mucosa Severity of Illness Index Deep Learning
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Application of Deep Learning Models to Improve Ulcerative Colitis Endoscopic Disease Activity Scoring Under Multiple Scoring Systems.

Journal of Crohn's & colitis Apr 19, 2023
BACKGROUND AND AIMS: Lack of clinical validation and inter-observer variability are two limitations of endoscopic assessment and scoring of disease severity in patients with ulcerative colitis [UC]. We developed a deep learning [DL] model to improve,...
Prospective Studies Colonoscopy Severity of Illness Index Humans Artificial Intelligence Deep Learning Colitis, Ulcerative
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Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis.

Inflammatory bowel diseases Mar 30, 2022
BACKGROUND: Eosinophils have been implicated in the pathogenesis of ulcerative colitis and have been associated with disease course and therapeutic response. However, associations between eosinophil density, histologic activity, and clinical features...
Cross-Sectional Studies Deep Learning Biopsy Eosinophils Colitis, Ulcerative Humans
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Accurate diagnosis of endoscopic mucosal healing in ulcerative colitis using deep learning and machine learning.

Journal of the Chinese Medical Association : JCMA Jul 1, 2021
BACKGROUND: In clinical applications, mucosal healing is a therapeutic goal in patients with ulcerative colitis (UC). Endoscopic remission is associated with lower rates of colectomy, relapse, hospitalization, and colorectal cancer. Differentiation o...
Mucous Membrane Taiwan Colitis, Ulcerative Retrospective Studies Endoscopy Deep Learning Severity of Illness Index Humans Wound Healing
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Deep learning enabled classification of Mayo endoscopic subscore in patients with ulcerative colitis.

European journal of gastroenterology & hepatology May 1, 2021
OBJECTIVE: Previous reports of deep learning-assisted assessment of Mayo endoscopic subscore (MES) in ulcerative colitis have only explored the ability to distinguish disease remission (MES 0/1) from severe disease (MES 2/3) or inactive disease (MES ...
Humans Colonoscopy Severity of Illness Index Retrospective Studies Colitis, Ulcerative Intestinal Mucosa Deep Learning ROC Curve
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Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases.

The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology Mar 1, 2021
BACKGROUND: Colonoscopy with biopsy is the "gold" standard for evaluating disease activity in inflammatory bowel diseases (IBD). Current research is geared toward finding non-invasive, cost-efficient methods that estimate disease activity. We aimed t...
Leukocyte L1 Antigen Complex Feces Colitis, Ulcerative Crohn Disease Artificial Intelligence Biomarkers Inflammatory Bowel Diseases Reproducibility of Results Humans Neural Networks, Computer
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New perspectives in the prediction of postoperative complications for high-risk ulcerative colitis patients: machine learning preliminary approach.

European review for medical and pharmacological sciences Dec 1, 2020
OBJECTIVE: Patients with acute severe and medical refractory ulcerative colitis have a high risk of postoperative complications after total abdominal colectomy (TAC). The objective of this retrospective study is to use machine learning to analyze and...
Middle Aged Humans Colectomy Postoperative Complications Colitis, Ulcerative Female Prospective Studies Machine Learning Male Retrospective Studies
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Artificial intelligence in inflammatory bowel disease: current status and opportunities.

Chinese medical journal Apr 5, 2020
Colitis Inflammatory Bowel Diseases Humans Colitis, Ulcerative Artificial Intelligence
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