AIMC Topic: Bronchodilator Agents

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Step up to triple therapy versus switch to dual bronchodilator therapy in patients with COPD on an inhaled corticosteroid/long-acting β-agonist: post-hoc analyses of KRONOS.

Respiratory research May 8, 2025
BACKGROUND: In people with chronic obstructive pulmonary disease (COPD) on inhaled corticosteroid/long-acting β-agonist (ICS/LABA) therapy, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommends stepping up to ICS/long-acting mu...
Drug Combinations Double-Blind Method Drug Therapy, Combination Drug Substitution Muscarinic Antagonists Pulmonary Disease, Chronic Obstructive Male Middle Aged Humans Treatment Outcome Female Adrenal Cortex Hormones Aged Administration, Inhalation Bronchodilator Agents Adrenergic beta-2 Receptor Agonists
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Curve-Modelling and Machine Learning for a Better COPD Diagnosis.

International journal of chronic obstructive pulmonary disease Jun 12, 2024
BACKGROUND: Development of new tools in artificial intelligence has an outstanding performance in the recognition of multidimensional patterns, which is why they have proven to be useful in the diagnosis of Chronic Obstructive Pulmonary Disease (COPD...
Neural Networks, Computer Machine Learning Female Reproducibility of Results Aged Humans Predictive Value of Tests Spirometry Vital Capacity Pulmonary Disease, Chronic Obstructive Bronchodilator Agents Male Peak Expiratory Flow Rate Middle Aged Lung Diagnosis, Computer-Assisted
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Experimental drugs in clinical trials for COPD: artificial intelligence via machine learning approach to predict the successful advance from early-stage development to approval.

Expert opinion on investigational drugs Jul 6, 2023
INTRODUCTION: Therapeutic advances in drug therapy of chronic obstructive pulmonary disease (COPD) really effective in suppressing the pathological processes underlying the disease deterioration are still needed. Artificial Intelligence (AI) via Mach...
Administration, Inhalation Bronchodilator Agents Adrenergic beta-2 Receptor Agonists Artificial Intelligence Machine Learning Humans Pulmonary Disease, Chronic Obstructive Bayes Theorem Muscarinic Antagonists
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In vitro and in vivo performance modelling and optimisation of different dry powder inhalers: A complementary study of neural networks, genetic algorithms and decision trees.

International journal of clinical practice Nov 11, 2020
INTRODUCTION: Aerosol delivery from DPIs could be affected by different factors. This study aimed to evaluate and predict the effects of different factors on drug delivery from DPIs.
Decision Trees Humans Administration, Inhalation Neural Networks, Computer Dry Powder Inhalers Algorithms Bronchodilator Agents
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Detecting asthma exacerbations using daily home monitoring and machine learning.

The Journal of asthma : official journal of the Association for the Care of Asthma Aug 14, 2020
OBJECTIVE: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to improved outcomes. We aimed to develop a machine learning algorithm to d...
Male Middle Aged Disease Progression Severity of Illness Index Drug Combinations Humans Machine Learning Female Asthma Home Care Services Terbutaline Monitoring, Physiologic Budesonide Bronchodilator Agents Formoterol Fumarate
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Triglycerides Serum Albumin Leukocyte Count Vital Capacity Bronchodilator Agents Sex Factors Body Height Alcohol Drinking Spirometry Serum Globulins Electrocardiography Longitudinal Studies Age Factors Cough Forced Expiratory Volume Cigarette Smoking Alkaline Phosphatase Hematocrit Dyspnea Aging Middle Aged Risk Assessment Lung Cohort Studies Female Adult Pulmonary Disease, Chronic Obstructive Humans Male Machine Learning Algorithms
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Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Humans Machine Learning Retrospective Studies Anemia, Sickle Cell Respiratory Function Tests Spirometry Respiratory Mechanics Vital Capacity Bronchodilator Agents Case-Control Studies Female Oscillometry Adolescent Asthma Child, Preschool Male Child Lung ROC Curve
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An ensemble learning method for asthma control level detection with leveraging medical knowledge-based classifier and supervised learning.

Journal of medical systems Apr 26, 2019
Approximately 300 million people are afflicted with asthma around the world, with the estimated death rate of 250,000 cases, indicating the significance of this disease. If not treated, it can turn into a serious public health problem. The best metho...
Supervised Machine Learning Iran Respiratory Function Tests Anti-Asthmatic Agents Bronchodilator Agents Biomarkers Environment Asthma Severity of Illness Index Humans Genetic Predisposition to Disease Algorithms Socioeconomic Factors
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Aerosol delivery during spontaneous breathing with different types of nebulizers- in vitro/ex vivo models evaluation.

Pulmonary pharmacology & therapeutics Dec 19, 2017
BACKGROUND: Nebulizers for spontaneous breathing have been evaluated through different study designs. There are limitations in simulated bench models related to patient and nebulizer factors. The aim of this study was to determine the correlation of ...
Aerosols Male Humans Inhalation Albuterol Equipment Design Nebulizers and Vaporizers Female Exhalation Models, Biological Young Adult Bronchodilator Agents Respiration Drug Delivery Systems Administration, Inhalation
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Predicting the Fine Particle Fraction of Dry Powder Inhalers Using Artificial Neural Networks.

Journal of pharmaceutical sciences Nov 9, 2016
Dry powder inhalers are increasingly popular for delivering drugs to the lungs for the treatment of respiratory diseases, but are complex products with multivariate performance determinants. Heuristic product development guided by in vitro aerosol pe...
Bronchodilator Agents Salmeterol Xinafoate Particle Size Principal Component Analysis Powders Albuterol Neural Networks, Computer Dry Powder Inhalers
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