Atopy

Usefulness of lung sound data collection using Skeeper SM-300® device: A pilot study.

BACKGROUND: Digital stethoscope has been introduced to clinical practice and are developing in many aspects. Overwhelming pandemic requires non-contact healthcare support, and recent growth of artificial intelligence necessitates high-quality data collection. OBJECTIVES: We studied the usefulness of a novel, remotely applicable device Skeeper SM-300®. METHODS: A single center, prospective, single-...

Quantitative sensory testing and classical pain model dataset in 127 healthy volunteers.

Experimental pain models are integral to human pain research and the development of analgesic drugs. Of many options available, it is possible to identify pain models that reliably predict clinical analgesic efficacy in cost-effective laboratory settings. However, translating experimental findings to clinical practice is imperfect, and laboratory models can only partially replicate specific clinic...

Machine learning-based study of breath sounds in children with asthma in remission and cough variant asthma.

BACKGROUND: Traditional auscultation, heavily dependent on the subjective judgment of physicians, can lead to variability in diagnoses. This study aim...

Three-dimensional modeling of sensory nerve architecture and eosinophil and mast cell interactions in eosinophilic gastrointestinal disease.

Increased sensory nerve density has been described in type II inflammatory conditions and is linked to eosinophil and mast cell infiltration and neuro...

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 ...

Multivariate Pattern Analysis Identifies Potential Intertrial Resting-State EEG Biomarkers in Fibromyalgia.

Fibromyalgia involves widespread musculoskeletal pain and hypersensitivity, often accompanied by neurological, cognitive, and affective disturbances. ...

Decoding Kounis syndrome with artificial intelligence: from diagnosis to precision medicine.

Kounis syndrome-acute coronary events triggered by allergic or hypersensitivity reactions-remains underrecognized across emergency and cardiology sett...

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...

[Precision medicine in the diagnosis of allergic airway diseases: current applications and future directions].

The rapid advancement of precision medicine is shifting the clinical diagnosis of allergic airway diseases away from traditional models that rely sole...

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...

Automated Eosinophil Quantification Using Deep Learning to Predict Therapy Escalation in Pediatric Ulcerative Colitis.

BACKGROUND: Emerging evidence implicates eosinophils as important modulators of disease activity and therapeutic response in ulcerative colitis. Autom...

Transcriptome and single-cell RNA sequencing data identify and validate candidate biomarkers associated with lysosomal and ferroptosis in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) represents the most common degenerative joint disease, with emerging evidence linking it to lysosomal dysfunction and ...

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 ...

A Hybrid Approach for Differentiating Fibrotic Hypersensitivity Pneumonitis and Idiopathic Pulmonary Fibrosis: Deep Feature Extraction and Machine Learning.

In patients over 60 years of age who are male, non-smokers, and in whom no organic antigen is identified in the history, differentiating fibrotic hype...

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...

Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study.

BACKGROUND: Large language models use machine learning to produce natural language. These models have a range of potential applications in health care...

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...