Asthma

Exploring the Bone-Vascular Axis: AI-Augmented Chest CT Analysis in COPD Highlights Association Between Vertebral Bone Density and Arterial Calcifications.

OBJECTIVES: Artificial intelligence (AI) tools enable automated assessment of vertebral bone mineral density (BMD), coronary artery calcification (CAC), and aortic calcification on CT scans, offering multimorbidity analysis in chronic obstructive pulmonary disease (COPD) patients. We aimed to investigate the bone-vascular axis with a focus on COPD severity and inhaled corticosteroid (ICS) use. MET...

Heterojunction-Engineered Mass Spectrometry Platform for Deciphering Serum Metabolic Fingerprints in Diagnosis of Respiratory Diseases.

Respiratory diseases, including bronchial asthma (BA), chronic obstructive pulmonary disease (COPD), interstitial lung disease (ILD), and lung cancer (LCa), pose a major global health challenge due to overlapping symptoms that frequently delay accurate diagnosis. Although metabolomics-based molecular phenotyping offers a promising path forward, its application in clinical treatment is limited by t...

AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with frequent exacerbations of COPD ...

Multi-Stage Respiratory Sound Analysis: Confidence-Driven Wheeze and Crackle Detection.

OBJECTIVE: Accurate detection of adventitious respiratory sounds, such as wheezes and crackles, is essential for diagnosing and managing respiratory c...

Hybrid deep learning and YAMNet features for asthma diagnosis from respiratory sounds.

A prompt and precise diagnosis is necessary to lessen the worldwide burden of asthma, a common chronic respiratory condition. Spirometry is one of the...

The ubiquitin ligase FBXW7 regulates epithelial pyroptosis in severe asthma.

BACKGROUND: Severe asthma is characterized by persistent airway inflammation and epithelial injury. Pyroptosis, a Caspase-1-dependent inflammatory cel...

Cohort vs case-control design for transformer-based prediction of asthma exacerbations in mild asthma.

Acute asthma exacerbation (AAE) is among the most serious outcomes of asthma, and accurate prediction of its risk remains a key challenge. Existing el...

Investigation of the use of urinary proteomics in the prediction of childhood asthma.

PURPOSE: Urinary proteomics may help us improve our understanding and classification of asthma. We sought to identify clusters of children based on ur...

Macrophage polarization as a therapeutic target in lung diseases: From pathogenesis to precision intervention.

Macrophages serve as core effector cells of the innate immune system, exerting dual regulatory roles in pulmonary homeostasis maintenance and disease ...

Decoupling lactylation-associated metabolic remodelling in Asthma: Integrated multi-omics and machine learning identify RCC2 as a potential therapeutic target.

BACKGROUND: Aerobic glycolysis promotes lactate accumulation and histone lactylation (Kla), yet the cell-type-specific distribution of this axis and i...

Natural bioactive as modulators of airway inflammation and remodeling: mechanistic insights.

Airway diseases such as asthma, COPD, pulmonary fibrosis, and other inflammatory airway conditions remain a significant threat to global health. Tradi...

Food safety assessment of hemipteran-specific insecticidal protein Tpp78Aa from Bacillus thuringiensis.

BACKGROUND: Hemipteran pests pose a significant threat to global agriculture, creating a continuous need for effective and safe control strategies. Tp...

Bioinformatics analysis and qRT-PCR validation of iron metabolism-related genes in pediatric asthma.

Pediatric asthma (PA) is a chronic airway disease with a complex etiology, and iron metabolism disorder is believed to be involved in its pathogenesis...

Comparison of AI-based Chatbot Performance in Analyzing Clinical Scenarios versus Medical Residents: A Novel Approach in Chest Diseases Education.

OBJECTIVE: Rapid advancements in artificial intelligence (AI) technologies offer new opportunities in medical education. The aim of this study is to c...

[Expert consensus on optimizing the multidisciplinary clinical pathways and management models for pulmonary function testing].

The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...

[Annual advances in clinical applications of pulmonary function testing 2025].

This review systematically synthesizes and critically appraises domestic and international advances in pulmonary function tests (PFT) research and cli...

Artificial Intelligence in Asthma: From Diagnosis to Management.

Artificial intelligence (AI) offers new opportunities to improve asthma management across the care process. This review synthesizes evidence on AI app...

Targeting immunosenescence in lung diseases: mechanistic insights and clinical interventions.

Immunosenescence, the age-related decline in immune function, plays a crucial role in the pathogenesis and progression of lung diseases, including chr...

Corrigendum to "Predicting the usage of seasonal drugs by utilizing advanced machine learning: An albuterol case study" [Res Soc Administrat Pharm 22 (4) 611-615 (2026) 1551-7411].

Exploring AI and ML in managing overlap between cardiovascular disease and asthma or COPD: a scoping review.

Cardiovascular disease (CVD) is a major comorbidity in asthma and chronic obstructive pulmonary disease (COPD), yet the contribution of artificial int...