AIMC Topic: Asthma

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Machine learning-driven identification of early-life air toxic combinations associated with childhood asthma outcomes.

The Journal of clinical investigation Nov 15, 2021
Air pollution is a well-known contributor to asthma. Air toxics are hazardous air pollutants that cause or may cause serious health effects. Although individual air toxics have been associated with asthma, only a limited number of studies have specif...
Humans Machine Learning Female Child Air Pollutants Acrylates Hydroquinones Ethyl Chloride Risk Factors Asthma Male Adolescent
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Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Cell reports Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Feces Proteomics Cluster Analysis Unsupervised Machine Learning Case-Control Studies Adolescent Child, Preschool Child Datasets as Topic Gene Expression Regulation Atlases as Topic Nasal Cavity Benchmarking Microbiota Allergens Epigenome Precision Medicine Female Adult Asthma Male Middle Aged Gene Expression Profiling Transcriptome Humans
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High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Cell reports Apr 13, 2021
Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, treatment-refractory disease. Applying mass cytometry and machine learning to bronchoalveolar lavage (BAL) cells, we find that corticosteroid-resistant ...
Humans Receptors, IgE Anti-Asthmatic Agents Adaptive Immunity Immunologic Memory Interleukin-7 Signal Transduction Immunity, Innate CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Machine Learning Gene Expression Regulation Interleukin-10 Severity of Illness Index Interferon-gamma Macrophages Gene Expression Profiling Bronchoalveolar Lavage Fluid Asthma Case-Control Studies Adrenal Cortex Hormones Proteomics
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[Effect of moxa-cone moxibustion at lung's back- points and front- points on Th17/Treg balance in mice with asthma].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion Nov 12, 2020
OBJECTIVE: To observe the effect of moxa-cone moxibustion at lung's back- points and front- points on the expression of helper T lymphocyte 17 (Th 17)/regulatory T lymphocyte (Treg) in mice with asthma, and to explore the possible mechanism of moxa-c...
Mice Asthma Moxibustion Animals T-Lymphocytes, Regulatory Male Th17 Cells Lung
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Expert artificial intelligence-based natural language processing characterises childhood asthma.

BMJ open respiratory research Feb 1, 2020
INTRODUCTION: The lack of effective, consistent, reproducible and efficient asthma ascertainment methods results in inconsistent asthma cohorts and study results for clinical trials or other studies. We aimed to assess whether application of expert a...
Male Child Natural Language Processing Electronic Health Records Female Reproducibility of Results Asthma Humans Artificial Intelligence
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Deep Q-learning for Predicting Asthma Attack with Considering Personalized Environmental Triggers' Risk Scores.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The purpose of our present study was to develop a forecasting method that would help asthmatic individuals to take evasive action when the probability of an attack was at THEIR PERSONAL THRESHOLD levels. The results are encouraging. Risk factor analy...
Humans Asthma Deep Learning Risk Decision Making Probability
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Childhood Asthma: Advances Using Machine Learning and Mechanistic Studies.

American journal of respiratory and critical care medicine Feb 15, 2019
A paradigm shift brought by the recognition that childhood asthma is an aggregated diagnosis that comprises several different endotypes underpinned by different pathophysiology, coupled with advances in understanding potentially important causal mech...
Models, Biological Asthma Big Data Child Humans Immunity, Innate Machine Learning
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Analysis of the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for the pediatric asthma.

Pakistan journal of pharmaceutical sciences Nov 1, 2018
Present study is done to analyze the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for the pediatric asthma. A total of 180 patients with pediatric bronchial asthma were randomized into ...
Compressed Air Humans Oxyhemoglobins Female Asthma Administration, Inhalation Child Male Aerosols Treatment Outcome Albuterol Oxygen Budesonide Remission Induction
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A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2018
This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MAT...
Female Adult Pulmonary Disease, Chronic Obstructive Asthma Male Middle Aged Mobile Applications Telemedicine Humans Prospective Studies Expert Systems Spirometry
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Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning.

Annals of the American Thoracic Society Jan 1, 2018
RATIONALE: Pediatric asthma has variable underlying inflammation and symptom control. Approaches to addressing this heterogeneity, such as clustering methods to find phenotypes and predict outcomes, have been investigated. However, clustering based o...
Anti-Asthmatic Agents Bronchodilator Agents Treatment Outcome Pediatric Obesity Eosinophils Models, Biological Humans Machine Learning Algorithms Asthma Phenotype Male Precision Medicine Severity of Illness Index Female Child
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