AIMC Topic: Pulmonary Disease, Chronic Obstructive

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Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening.

Respiratory research Nov 28, 2023
OBJECTIVES: Parametric response mapping (PRM) enables the evaluation of small airway disease (SAD) at the voxel level, but requires both inspiratory and expiratory chest CT scans. We hypothesize that deep learning PRM from inspiratory chest CT scans ...
Humans Asthma Tomography, X-Ray Computed Pulmonary Emphysema Lung Pulmonary Disease, Chronic Obstructive Emphysema Deep Learning
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Analyses of Factors Associated with Acute Exacerbations of Chronic Obstructive Pulmonary Disease: A Review.

International journal of chronic obstructive pulmonary disease Nov 24, 2023
Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) is the exacerbation of a range of respiratory symptoms during the stable phase of chronic obstructive pulmonary disease (COPD). AECOPD is thus a dangerous stage and key event in th...
Lung Pulmonary Disease, Chronic Obstructive Quality of Life Humans Disease Progression Artificial Intelligence
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CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis.

European radiology Nov 11, 2023
BACKGROUND: Pneumonia-related hospitalization may be associated with advanced skeletal muscle loss due to aging (i.e., sarcopenia) or chronic illnesses (i.e., cachexia). Early detection of muscle loss may now be feasible using deep-learning algorithm...
Humans Algorithms Aged, 80 and over Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Female Male Hospitalization Aged Pneumonia Middle Aged Atherosclerosis Deep Learning Pectoralis Muscles Incidence
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Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method.

Scientific reports Sep 16, 2023
Severe asthma is a chronic inflammatory airway disease with great therapeutic challenges. Understanding the genetic and molecular mechanisms of severe asthma may help identify therapeutic strategies for this complex condition. RNA expression data wer...
Humans Artificial Intelligence Machine Learning Heterogeneous-Nuclear Ribonucleoproteins Polypyrimidine Tract-Binding Protein Pulmonary Disease, Chronic Obstructive Asthma Data Mining
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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 Bayes Theorem Humans Artificial Intelligence Muscarinic Antagonists Machine Learning Pulmonary Disease, Chronic Obstructive
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Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.

BMC pulmonary medicine Jun 2, 2023
BACKGROUND: Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognos...
Clinical Protocols Idiopathic Interstitial Pneumonias Observational Studies as Topic Humans Idiopathic Pulmonary Fibrosis Case-Control Studies Artificial Intelligence Lung Diseases, Interstitial Deep Learning Adult Auscultation Quality of Life Ultrasonography Pulmonary Disease, Chronic Obstructive Respiratory Sounds Lung
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Deep learning on graphs for multi-omics classification of COPD.

PloS one Apr 21, 2023
Network approaches have successfully been used to help reveal complex mechanisms of diseases including Chronic Obstructive Pulmonary Disease (COPD). However despite recent advances, we remain limited in our ability to incorporate protein-protein inte...
Bone Morphogenetic Proteins Pulmonary Disease, Chronic Obstructive Humans Deep Learning Neural Networks, Computer Multiomics Algorithms
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Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models.

Nature genetics Apr 17, 2023
Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is highly heritable. While COPD is clinically defined by applying thresholds to summary measures of lung function, a quantitative liability score has more power...
Polymorphism, Single Nucleotide Genetic Loci Pulmonary Disease, Chronic Obstructive Humans Deep Learning Genome-Wide Association Study
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Fractional Dynamics Foster Deep Learning of COPD Stage Prediction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 19, 2023
Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide. Current COPD diagnosis (i.e., spirometry) could be unreliable because the test depends on an adequate effort from the tester and testee. Moreover, the early...
Humans Neural Networks, Computer Pulmonary Disease, Chronic Obstructive Deep Learning Spirometry
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Compressed Sensing Data with Performing Audio Signal Reconstruction for the Intelligent Classification of Chronic Respiratory Diseases.

Sensors (Basel, Switzerland) Jan 28, 2023
Chronic obstructive pulmonary disease (COPD) concerns the serious decline of human lung functions. These have emerged as one of the most concerning health conditions over the last two decades, after cancer around the world. The early diagnosis of COP...
Lung Probability Artificial Intelligence Machine Learning Pulmonary Disease, Chronic Obstructive Humans
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