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

Asthma-III: Symptoms and Complications01:24

Asthma-III: Symptoms and Complications

2.5K
Asthma, a common chronic respiratory condition, is classified considering the frequency and severity of symptoms alongside lung function impairment. Understanding this classification is essential for appropriate treatment and management. Here's a detailed look at the classification of asthma and its clinical features and complications:
Classification of Asthma
2.5K
Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

2.5K
The diagnosis and management of asthma are comprehensive, encompassing clinical assessments, lung function tests, and pharmacological interventions. Here's an overview:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
2.5K
Asthma-I: Introduction01:29

Asthma-I: Introduction

2.6K
Asthma is a chronic respiratory ailment that requires careful management due to its varying symptoms and influencing factors. It is characterized by airway inflammation, bronchial hyperresponsiveness, and reversible airflow obstruction, leading to symptoms like wheezing, shortness of breath, chest tightness, and coughing. The symptom frequency and intensity may vary considerably over time. It is also linked to immune system responses to allergens and irritants, highlighting the complex...
2.6K
Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

2.7K
Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
2.7K
Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

396
Asthma is a chronic pulmonary condition involving inflammation of the airways, hyper-reactivity, and reversible obstruction of the airways. This condition can significantly impact a person's quality of life, making breathing difficult and leading to distressing symptoms.
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
396
Antiasthma Drugs: Mast Cell Stabilizers and Anti-IgE Drugs01:25

Antiasthma Drugs: Mast Cell Stabilizers and Anti-IgE Drugs

294
Asthma is a chronic respiratory condition for which new therapeutic avenues, including anti-inflammatory drugs like mast cell stabilizers and anti-IgE treatments, continue to be developed.
Mast cell stabilizers, such as cromolyn (also known as sodium cromoglycate) and nedocromil (Tilade), are effective drugs in asthma management. These stabilizers hinder histamine release by skillfully obstructing the activation of mast cells and other cellular entities. Notably, they navigate this task without...
294

You might also read

Related Articles

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

Sort by
Same author

Impulse oscillometry with quantitative computed tomography provides additional clinical information beyond spirometry in chronic airflow obstruction: a pilot study.

Frontiers in physiology·2026
Same author

Association Between Improvement in Institutional COPD Quality Assessment Grade and Risk of Acute Exacerbations in Primary and Secondary Care: A Nationwide Claims-Based Study.

International journal of chronic obstructive pulmonary disease·2026
Same author

Divergent prognostic roles of air trapping and reduced inspiratory reserve in COPD: Exacerbations versus functional decline.

Respiratory medicine·2026
Same author

Resistin signaling via NF-κB pathway plays a key role in obesity-induced and -aggravated asthma.

Life sciences·2026
Same author

Impact of concurrent COPD and cardiovascular disease on mortality.

Respiratory medicine·2026
Same author

When Routine Becomes Risk: Proton Pump Inhibitors in COPD and Asthma.

Chest·2026
Same journal

Increased Neutrophil Elastase in Affected Lobes of Bronchiectasis and Correlation of Its Levels between Sputum and Bronchial Lavage Fluid.

Tuberculosis and respiratory diseases·2026
Same journal

Blood Eosinophil Count, Disease Severity, and Exacerbation Risk in Korean Patients with Bronchiectasis: A Retrospective Cohort Study.

Tuberculosis and respiratory diseases·2026
Same journal

Nationwide Incidence and Prevalence of Idiopathic Pulmonary Fibrosis in South Korea.

Tuberculosis and respiratory diseases·2026
Same journal

A Multicenter Registry for Rare Interstitial Lung Diseases in Korea: Baseline Characteristics and Clinical Outcomes.

Tuberculosis and respiratory diseases·2026
Same journal

Use of anticoagulants as a supportive measure in pulmonary hypertension: a narrative review.

Tuberculosis and respiratory diseases·2026
Same journal

Real-world safety of FF/UMEC/VI in patients with asthma or COPD, and clinical outcomes in COPD: post-marketing surveillance in Korea.

Tuberculosis and respiratory diseases·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2025

Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma
14:39

Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma

Published on: November 4, 2010

31.9K

Big Data Research on Severe Asthma.

Sang Hyuk Kim1, Youlim Kim2

  • 1Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Dongguk University Gyeongju Hospital, Dongguk University College of Medicine, Gyeongju, Republic of Korea.

Tuberculosis and Respiratory Diseases
|March 5, 2024
PubMed
Summary
This summary is machine-generated.

Severe asthma management is challenging. Big data and artificial intelligence offer new paths toward precision medicine for severe asthma patients, improving global health outcomes.

Keywords:
Big DataDigital TechnologyInternational CohortsMulticenter Electronic Health RecordsNationwide Claims DataSevere Asthma

More Related Videos

A Reversible, Non-invasive Method for Airway Resistance Measurements and Bronchoalveolar Lavage Fluid Sampling in Mice
09:58

A Reversible, Non-invasive Method for Airway Resistance Measurements and Bronchoalveolar Lavage Fluid Sampling in Mice

Published on: April 13, 2010

22.5K
Methodology for Sputum Induction and Laboratory Processing
13:28

Methodology for Sputum Induction and Laboratory Processing

Published on: December 17, 2017

27.6K

Related Experiment Videos

Last Updated: Jul 1, 2025

Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma
14:39

Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma

Published on: November 4, 2010

31.9K
A Reversible, Non-invasive Method for Airway Resistance Measurements and Bronchoalveolar Lavage Fluid Sampling in Mice
09:58

A Reversible, Non-invasive Method for Airway Resistance Measurements and Bronchoalveolar Lavage Fluid Sampling in Mice

Published on: April 13, 2010

22.5K
Methodology for Sputum Induction and Laboratory Processing
13:28

Methodology for Sputum Induction and Laboratory Processing

Published on: December 17, 2017

27.6K

Area of Science:

  • Pulmonology
  • Medical Informatics
  • Data Science

Background:

  • Severe asthma prevalence is increasing globally, posing a significant health burden.
  • Current management strategies for severe asthma face ongoing challenges despite new therapies.

Purpose of the Study:

  • To explore the potential of big data and artificial intelligence in understanding and managing severe asthma.
  • To highlight the need for understanding data strengths and limitations for effective utilization.

Main Methods:

  • Leveraging diverse big data sources: electronic health records, national claims data, international cohorts.
  • Integrating advancements in artificial intelligence techniques with big data analysis.

Main Results:

  • Big data offers valuable insights into the complex nature of severe asthma.
  • Proper utilization of specific datasets requires understanding their strengths and limitations.

Conclusions:

  • Big data analysis, combined with AI, can potentially advance precision medicine in severe asthma care.
  • Further research is needed to optimize the use of big data for improved patient outcomes.