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

Autoimmune Disorders01:29

Autoimmune Disorders

653
Autoimmune diseases are a group of disorders in which the body's immune system mistakenly attacks its own cells, tissues, and organs. This results from an overactive immune response against substances and tissues normally present in the body. Let's delve into the concept and mechanism of autoimmune diseases from an immune system point of view, explore different causes and examples of such diseases, and discuss potential solutions.
Concept and Mechanism of Autoimmune Diseases
The immune...
653
Classification of Illness01:17

Classification of Illness

7.9K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.9K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.1K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
14.1K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

5.1K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.1K
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

3.1K
Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
3.1K
Classification of Leukocytes01:30

Classification of Leukocytes

2.4K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
2.4K

You might also read

Related Articles

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

Sort by
Same author

Distinct Transcriptional and Migratory Programs Are Associated with Vasculogenic Mimicry Heterogeneity in Triple-Negative Breast Cancer.

Cancers·2026
Same author

Combined Hormonal Contraception with Low-Dose Ethinylestradiol is Associated with Modest Reduction of Breast Milk Volume when Administered Vaginally, but Not Orally.

Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine·2026
Same author

Novel Selective Anticancer Effect of Epididymis-Derived Extracellular Vesicles Against HCC38 and MCF-7 Breast Cancer Cell Lines.

International journal of molecular sciences·2026
Same author

Monoclonal antibodies from COVID-19 convalescent patients target cryptic epitopes for broad SARS-CoV-2 neutralization.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Consensus Molecules Associated with Parkinson's Disease.

Neurology international·2026
Same author

Association between proton pump inhibitor use and upper gastrointestinal cancer: A matched case-control study accounting for reverse causation and confounding by indication.

PLoS medicine·2026

Related Experiment Video

Updated: Sep 3, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K

Autoimmune Disease Classification Based on PubMed Text Mining.

Hadas Samuels1, Malki Malov1, Trishna Saha Detroja1

  • 1Azrieli Faculty of Medicine, Bar Ilan University, Safed 1311502, Israel.

Journal of Clinical Medicine
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

This study uses PubMed data mining to predict autoimmune disease comorbidities, achieving 91% accuracy. It classifies 100 autoimmune diseases by affected systems, aiding diagnosis and research into shared mechanisms.

Keywords:
Alzheimer’s diseasePubMedautoimmune diseaseclassificationfrequency analysislist of autoimmune diseasestaxonomytext mining

More Related Videos

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
12:36

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Published on: June 26, 2018

9.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

557

Related Experiment Videos

Last Updated: Sep 3, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
12:36

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Published on: June 26, 2018

9.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

557

Area of Science:

  • Computational biology
  • Immunology
  • Medical informatics

Background:

  • Autoimmune diseases (AIDs) frequently co-occur, with 25% of patients developing multiple conditions.
  • Understanding AID comorbidity is crucial for diagnosis and treatment.
  • Existing classification systems may not fully capture inter-disease relationships.

Purpose of the Study:

  • To predict autoimmune disease comorbidities using data mining of PubMed co-citation data.
  • To classify 100 autoimmune diseases based on predicted associations.
  • To aid healthcare professionals in diagnosing comorbidities and researchers in identifying shared disease mechanisms.

Main Methods:

  • Normalized co-citation analysis of scientific literature in PubMed.
  • Validation using a test dataset of known autoimmune disease comorbidities (R = 0.91).
  • Principal component analysis for classification of 100 autoimmune diseases.

Main Results:

  • A validated data mining methodology accurately predicts autoimmune disease comorbidity.
  • Autoimmune diseases were classified into 10 system-based categories (gastrointestinal, neuronal, etc.).
  • A network classification of autoimmune diseases was generated, highlighting associations like Alzheimer's disease and multiple sclerosis.

Conclusions:

  • The study successfully classifies autoimmune diseases and predicts comorbidities using PubMed text mining.
  • The generated network aids in understanding the relationships between different autoimmune diseases.
  • Findings support improved clinical diagnosis and research into common underlying mechanisms of autoimmune diseases.