AIMC Topic: Crohn Disease

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Deep learning conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study.

World journal of gastroenterology Oct 14, 2021
BACKGROUND: Traditional methods of developing predictive models in inflammatory bowel diseases (IBD) rely on using statistical regression approaches to deriving clinical scores such as the Crohn's disease (CD) activity index. However, traditional app...
Humans Algorithms Retrospective Studies Female Infliximab Crohn Disease Tumor Necrosis Factor Inhibitors Adalimumab Adult Male Deep Learning Cohort Studies
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The Use of Readily Available Longitudinal Data to Predict the Likelihood of Surgery in Crohn Disease.

Inflammatory bowel diseases Jul 27, 2021
BACKGROUND: Although imaging, endoscopy, and inflammatory biomarkers are associated with future Crohn disease (CD) outcomes, common laboratory studies may also provide prognostic opportunities. We evaluated machine learning models incorporating routi...
Forecasting ROC Curve Logistic Models Crohn Disease Humans Machine Learning
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Automated Detection of Crohn's Disease Intestinal Strictures on Capsule Endoscopy Images Using Deep Neural Networks.

Journal of Crohn's & colitis May 4, 2021
BACKGROUND AND AIMS: Passable intestinal strictures are frequently detected on capsule endoscopy [CE]. Such strictures are a major component of inflammatory scores. Deep neural network technology for CE is emerging. However, the ability of deep neura...
Neural Networks, Computer Constriction, Pathologic Crohn Disease Image Interpretation, Computer-Assisted Capsule Endoscopy Humans Intestinal Obstruction
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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...
Humans Neural Networks, Computer Artificial Intelligence Biomarkers Colitis, Ulcerative Inflammatory Bowel Diseases Reproducibility of Results Crohn Disease Feces Leukocyte L1 Antigen Complex
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Brief Survey on Machine Learning in Epistasis.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
In biology, the term "epistasis" indicates the effect of the interaction of a gene with another gene. A gene can interact with an independently sorted gene, located far away on the chromosome or on an entirely different chromosome, and this interacti...
Plants Macular Degeneration Data Mining Alzheimer Disease Polymorphism, Single Nucleotide Computational Biology Crohn Disease Genome, Human Epistasis, Genetic Quantitative Trait, Heritable Inheritance Patterns Humans Machine Learning Phenotype Neoplasms Genome-Wide Association Study
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Predicting Corticosteroid-Free Biologic Remission with Vedolizumab in Crohn's Disease.

Inflammatory bowel diseases May 18, 2018
BACKGROUND AND AIMS: Vedolizumab (VDZ) is effective for Crohn's disease (CD) but costly and is slow to produce remission. Early knowledge of whether vedolizumab is likely to succeed is valuable for physicians, patients, and insurers.
Gastrointestinal Agents Remission Induction Adrenal Cortex Hormones Biological Products C-Reactive Protein Area Under Curve Crohn Disease ROC Curve Treatment Outcome Antibodies, Monoclonal, Humanized Humans Machine Learning Female Young Adult Adult Male Middle Aged Cohort Studies
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A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease.

Bioinformatics (Oxford, England) Mar 15, 2018
SUMMARY: Gene-based supervised machine learning classification models have been widely used to differentiate disease states, predict disease progression and determine effective treatment options. However, many of these classifiers are sensitive to no...
Humans Adult Disease Progression Child Protein Interaction Maps Gene Regulatory Networks Metabolic Networks and Pathways Crohn Disease Models, Biological Computational Biology Supervised Machine Learning Colitis, Ulcerative Diagnosis, Differential
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Dosing interval and diagnosis predict infliximab levels in patients with inflammatory bowel disease on maintenance treatment.

Acta gastro-enterologica Belgica Jan 1, 2018
OBJECTIVE: The aim of the study was to identify factors influencing infliximab (IFX) trough levels (TL) in patients with inflammatory bowel disease (IBD).
Crohn Disease Gastrointestinal Agents Remission Induction Humans Treatment Outcome Inflammatory Bowel Diseases Colitis, Ulcerative Cross-Sectional Studies Antibodies, Monoclonal Infliximab
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Validation of Neutrophil CD64 Blood Biomarkers to Detect Mucosal Inflammation in Pediatric Crohn's Disease.

Inflammatory bowel diseases Dec 19, 2017
BACKGROUND: In a pilot study, neutrophil CD64 surface expression was significantly elevated in newly diagnosed, pediatric-onset Crohn's disease. We aimed to test the CD64 biomarkers (neutrophil CD64 surface expression and soluble CD64) as determinate...
Pilot Projects Adolescent Cohort Studies Child, Preschool Male Severity of Illness Index Case-Control Studies Crohn Disease Receptors, IgG Child Humans Inflammation Biomarkers Neutrophils Female Intestinal Mucosa Young Adult Adult
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LOWER LEVELS OF VITAMIN D CORRELATE WITH CLINICAL DISEASE ACTIVITY AND QUALITY OF LIFE IN INFLAMMATORY BOWEL DISEASE.

Arquivos de gastroenterologia Dec 1, 2015
BACKGROUND: Inflammatory bowel disease, comprising Crohn's disease and ulcerative colitis, is a group of debilitating conditions associated with deregulated mucosal immune response. Vitamin D has been implicated in immune response and gastrointestina...
Colitis, Ulcerative Crohn Disease Quality of Life Severity of Illness Index Vitamin D Vitamin D Deficiency Adult Cross-Sectional Studies Male Humans Female
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