Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Inflammatory Bowel Disease I: Ulcerative Colitis01:27

Inflammatory Bowel Disease I: Ulcerative Colitis

299
Introduction
Inflammatory bowel disease, or IBD, encompasses a group of disorders characterized by chronic inflammation or ulceration of the gastrointestinal tract.
Risk Factors
The exact cause of IBD remains unclear, although it is believed to be due to a mix of genetic, environmental, microbial, and immune factors. Genetic factors are significant in determining susceptibility to IBD, with family history being a critical risk factor. Individuals with a first-degree relative who has IBD are at...
299
Inflammatory Bowel Disease III: Diagnostic Studies and Management I-Nutritional Therapy01:30

Inflammatory Bowel Disease III: Diagnostic Studies and Management I-Nutritional Therapy

401
Various diagnostic tests are employed in the diagnostic process for Inflammatory Bowel Disease (IBD), particularly to differentiate between Crohn's disease and ulcerative colitis.
Diagnostic studies
A colonoscopy is the definitive screening test, distinguishing ulcerative colitis from other colon diseases with similar symptoms. During a colonoscopy test, inflamed mucosa with exudate ulcerations can be observed, and biopsies are taken to determine the histologic characteristics of the...
401
Drugs for Treatment of Ulcerative Colitis in IBD01:29

Drugs for Treatment of Ulcerative Colitis in IBD

229
Ulcerative colitis is a chronic inflammatory condition primarily affecting the colon and rectum. The primary drugs used in the treatment of ulcerative colitis are aminosalicylates. They exhibit anti-inflammatory and immunosuppressive properties. They modulate inflammatory mediators and inhibit the activity of nuclear factor κB (NF-κB). Aminosalicylates also reduce inflammation by inhibiting prostaglandin and leukotriene production and decreasing neutrophil chemotaxis and superoxide...
229
Inflammatory Bowel Disease II: Crohn's Disease01:30

Inflammatory Bowel Disease II: Crohn's Disease

355
Introduction
Inflammatory bowel disease, commonly known as IBD, refers to a collection of disorders that lead to persistent inflammation of the gastrointestinal tract. The two types of IBD are ulcerative colitis, which impacts the colon, and Crohn's disease, which can involve any part of the gastrointestinal segment.
Crohn's disease
Crohn's disease is a chronic, systemic inflammatory bowel disease (IBD) that predominantly affects the gastrointestinal tract. It is marked by...
355

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

AID and MUM1 Negativity Identifies a Prognostically Favorable Subgroup of Diffuse Large B-Cell Lymphoma/High-Grade B-Cell Lymphoma With Double-Hit MYC and BCL2 or BCL6 and Triple Hit.

Pathology international·2026
Same author

Clinicopathological Characteristics and Prediction of Overall Survival and Death Within 2 Years in Diffuse Large B-Cell Lymphoma Based on Histological Images and Deep Learning.

Biomedicines·2026
Same author

Clinicopathological and transcriptomic profiles of 101 patients with diffuse large B-cell lymphoma/high-grade B-cell lymphoma with double-hit MYC and BCL2 or BCL6 and triple hit.

Histopathology·2026
Same author

Intraepithelial Lymphocytes and LAIR1 Expression in Celiac Disease.

Biomedicines·2025
Same author

Histological Image Classification Between Follicular Lymphoma and Reactive Lymphoid Tissue Using Deep Learning and Explainable Artificial Intelligence (XAI).

Cancers·2025
Same author

Discrete genetic subtypes and tumor microenvironment signatures correlate with peripheral T-cell lymphoma outcomes.

Leukemia·2025

Related Experiment Video

Updated: Aug 30, 2025

Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
10:37

Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform

Published on: November 30, 2016

8.4K

Artificial Intelligence Analysis of Ulcerative Colitis Using an Autoimmune Discovery Transcriptomic Panel.

Joaquim Carreras1

  • 1Department of Pathology, Faculty of Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara 259-1193, Japan.

Healthcare (Basel, Switzerland)
|August 26, 2022
PubMed
Summary

Artificial intelligence accurately predicted ulcerative colitis using gene expression data. This approach identified key genes, like PD-L1, offering a novel strategy for disease research.

Keywords:
PD-L1artificial intelligenceartificial neural networksautoimmunityimmune checkpointimmune microenvironmentimmuno-oncologymachine learningtranscriptomeulcerative colitis

More Related Videos

Investigating Target Gene Function in a CD40 Agonistic Antibody-induced Colitis Model using CRISPR/Cas9-based Technologies
09:08

Investigating Target Gene Function in a CD40 Agonistic Antibody-induced Colitis Model using CRISPR/Cas9-based Technologies

Published on: June 2, 2021

1.9K
Systematic Scoring Analysis for Intestinal Inflammation in a Murine Dextran Sodium Sulfate-Induced Colitis Model
09:11

Systematic Scoring Analysis for Intestinal Inflammation in a Murine Dextran Sodium Sulfate-Induced Colitis Model

Published on: February 14, 2021

9.6K

Related Experiment Videos

Last Updated: Aug 30, 2025

Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
10:37

Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform

Published on: November 30, 2016

8.4K
Investigating Target Gene Function in a CD40 Agonistic Antibody-induced Colitis Model using CRISPR/Cas9-based Technologies
09:08

Investigating Target Gene Function in a CD40 Agonistic Antibody-induced Colitis Model using CRISPR/Cas9-based Technologies

Published on: June 2, 2021

1.9K
Systematic Scoring Analysis for Intestinal Inflammation in a Murine Dextran Sodium Sulfate-Induced Colitis Model
09:11

Systematic Scoring Analysis for Intestinal Inflammation in a Murine Dextran Sodium Sulfate-Induced Colitis Model

Published on: February 14, 2021

9.6K

Area of Science:

  • Genomics
  • Bioinformatics
  • Artificial Intelligence

Background:

  • Ulcerative colitis (UC) is an inflammatory bowel disease with an unknown etiology.
  • Identifying genetic markers for UC is crucial for understanding its pathogenesis.

Purpose of the Study:

  • To investigate the feasibility of using artificial intelligence (AI) to identify genes associated with ulcerative colitis.
  • To develop predictive models for UC using machine learning and transcriptomic data.

Main Methods:

  • Analysis of a 755-gene transcriptomic panel from 43 UC patients and healthy donors (GSE38713).
  • Application of 16 machine learning models, including neural networks, random forests, and support vector machines.
  • Validation of identified genes, such as programmed cell death 1 ligand 1 (PD-L1), using immunohistochemistry.

Main Results:

  • AI models achieved 95-100% accuracy in predicting ulcerative colitis.
  • Several machine learning techniques and artificial neural networks effectively modeled UC.
  • Key pathogenic genes, including PD-L1, were identified and highlighted.

Conclusions:

  • AI analysis of transcriptomic data is a viable strategy for ulcerative colitis research.
  • This approach can effectively predict UC and identify relevant disease-associated genes.
  • The findings support AI-driven discovery for inflammatory bowel diseases.