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-I: Introduction01:29

Asthma-I: Introduction

3.6K
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...
3.6K
Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

3.3K
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:
3.3K
Asthma-III: Symptoms and Complications01:24

Asthma-III: Symptoms and Complications

3.5K
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
3.5K
Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

4.7K
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:
4.7K
Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

1.5K
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.
1.5K
Asthma-IV: Nursing Management01:30

Asthma-IV: Nursing Management

4.0K
The nursing management of asthma is a comprehensive approach that relies heavily on the expertise and dedication of healthcare professionals. It involves thorough assessment, accurate diagnosis, strategic planning, effective implementation, and diligent evaluation. By meticulously following this step-by-step process, healthcare professionals play a crucial role in providing the best possible care and treatment for patients with asthma, enhancing their overall health and well-being.
First, in...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Elective genomic sequencing for adults in research, clinical and commercial contexts.

BMC medical genomics·2026
Same author

Elective genomic sequencing for adults in research, clinical and commercial contexts.

medRxiv : the preprint server for health sciences·2026
Same author

Estimating the causal effects of multiple intermittent treatments with application to COVID-19.

Journal of the Royal Statistical Society. Series C, Applied statistics·2026
Same author

Mutational patterns in a large cohort of parathyroid carcinomas.

Journal of endocrinological investigation·2026
Same author

Leveraging Generative AI for Interpretable Clinical Decision Making Through Causal Graphs.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same author

A transcriptional program associated with neurotransmission in the living human brain.

Molecular psychiatry·2026

Related Experiment Video

Updated: Mar 6, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

3.2K

The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit.

Yu-Feng Yvonne Chan1,2, Pei Wang1, Linda Rogers3

  • 1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Nature Biotechnology
|March 14, 2017
PubMed
Summary

Mobile health apps can conduct remote clinical studies, collecting diverse asthma data from thousands of participants. This method shows promise but requires addressing challenges like bias and retention for future research.

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.1K
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

23.5K

Related Experiment Videos

Last Updated: Mar 6, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

3.2K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.1K
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

23.5K

Area of Science:

  • Digital Health
  • Clinical Research Methodology
  • Respiratory Medicine

Background:

  • Observational clinical studies require rigorous validation for mobile health applications.
  • Remote data collection via smartphones presents a novel approach to clinical research.

Purpose of the Study:

  • To assess the feasibility and data quality of conducting an observational clinical study entirely remotely using a mobile health application.
  • To explore the potential of mobile platforms for collecting longitudinal, multidimensional data in a large participant cohort.

Main Methods:

  • Recruitment, consent, and enrollment were conducted remotely via smartphone for the Asthma Mobile Health Study.
  • Secure bidirectional data flow was established between investigators and 7,593 participants across the United States.
  • Longitudinal, multidimensional data (surveys, device data, geolocation, air quality) were prospectively collected from a subset of users over six months.

Main Results:

  • The study successfully enrolled a large cohort, including individuals with severe asthma, demonstrating the reach of mobile health platforms.
  • Consistent trending and correlation of interrelated variables supported the quality of the prospectively collected data.
  • Increased asthma symptom reporting was observed in regions affected by environmental factors like heat, pollen, and wildfires.

Conclusions:

  • Mobile health applications are a feasible tool for conducting remote observational clinical studies, enabling large-scale data collection.
  • The study highlights the potential of mobile platforms for real-world data acquisition in respiratory medicine.
  • Addressing challenges such as selection bias, retention, reporting bias, and data security is crucial for optimizing mobile health research.