Atopy

Non-communicable inflammatory skin diseases comprise clinically meaningful distinct endotypes as identified by non-hypothesized integration of phenotypic and transcriptome data.

BACKGROUND: Non-communicable inflammatory skin diseases (ncISDs) comprise over 100 conditions with overlapping clinical features. Current classification systems are largely based on morphology and do not adequately reflect underlying molecular mechanisms, limiting the implementation of precision therapies. OBJECTIVE: To establish a data-driven, molecular framework for stratifying ncISDs independen...

Cough Hypersensitivity in Gastroesophageal Reflux-Induced Chronic Cough: Insights from Reflux Monitoring and High-Resolution Manometry.

BACKGROUND: Cough hypersensitivity contributes to the heterogeneity of gastroesophageal reflux-induced chronic cough (GERC), but its associated factors remain unclear. This study aimed to investigate factors associated with cough hypersensitivity and evaluate the relative contributions of reflux characteristics and esophageal motility across reflux phenotypes. METHODS: This retrospective study inc...

Comparison of artificial intelligence and multidisciplinary team assessment for evaluating biologic decisions in severe uncontrolled asthma.

BACKGROUND: The management of severe asthma with biologics has become more complex involving multidisciplinary team meetings. Artificial intelligence ...

Infection with Western equine encephalitis virus causes severe regional glial reactivity and neurodegeneration in the hippocampus with progressive accumulation of amyloid-β.

Encephalitic alphaviruses such as Western equine encephalitis virus (WEEV) result in significant morbidity through acute viremia and postencephalitic ...

Differential Diagnosis of Asthma and COPD: Established and Emerging Biomarkers and Technologies.

Asthma and chronic obstructive pulmonary disease (COPD) represent the two most prevalent chronic respiratory conditions worldwide, affecting hundreds ...

Targeting Airway Remodeling in Severe Asthma: Is There a Window of Opportunity for Biologic Therapy Predicting Effects Using Causal Artificial Intelligence?

Airway remodeling is increasingly recognized as a major determinant of asthma progression, fixed airflow limitation, and long-term morbidity, particul...

Optimizing gadolinium-enhanced CNS MRI: From physics to clinical practice.

Gadolinium-based contrast agents (GBCAs) are essential for the evaluation of central nervous system (CNS) disorders, enhancing lesion detection, chara...

Identifying and addressing problematic studies in allergy and asthma research: a commentary.

Randomized controlled trials (RCTs) underpin evidence-based medicine, but a growing proportion of trials contain implausible, inaccurate, or fabricate...

Corticosteroid Stewardship: Can it help us avoid the corticosteroid trap? Journal of Allergy and Clinical Immunology: In Practice.

With an almost 20-year experience with asthma biologics, it is now clear that a major impact of all available asthma biologics is the opportunity to r...

The association between serum chloride levels and asthma prevalence: A cross-sectional study with variable screening and validation guided by machine learning.

Prior evidence suggests that ion channel dysfunction plays a significant role in the pathogenesis of asthma, which provides a theoretical basis for th...

A hypersensitive neuromorphic airflow sensor inspired by vision-compensatory scorpion mechanoreceptors for respiratory pattern analysis.

Efficient acquisition of spatial airflow information is vital for organisms to orient within complex environments and detect predators. For scorpions ...

AI-derived Histopathological Signatures Are Associated With Response to Mepolizumab in Chronic Rhinosinusitis With Nasal Polyps.

BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous inflammatory disease with variable response to biologic therapy. Tissue...

Validation of federated analytics across secure data environments: A comparative study of synthetic healthcare datasets using machine learning and general linear models.

OBJECTIVES: To enable research and innovation, most health data systems are moving away from a model of pooled data egress and instead highlight the b...

Microbiome-Driven Precision Medicine in Asthma: Roles of Targeted Therapies and Artificial Intelligence.

OBJECTIVE: To evaluate the current evidence regarding airway and gut microbiome alterations in asthma pathogenesis and therapeutic response, and to ex...

VCAM-1 Serves as a Biomarker for Discriminating Eosinophilic CRSwNP and Regulates IL-13-Induced Vascular Remodeling.

BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a highly heterogeneous inflammatory disease with distinct inflammatory endotypes. This ...

Development of machine learning-based predictive models for evaluating risk in the contralateral ear among patients with unilateral sudden sensorineural hearing loss.

BACKGROUND: Sequential bilateral sudden sensorineural hearing loss (Se-BSSHL) may occur after an initial unilateral episode, but the risk factors for ...

Radiotherapy and immunotherapy in cancer treatment: mechanisms of clinical synergy.

Synergizing radiotherapy (RT) with immune checkpoint inhibitors has emerged as a promising strategy for solid tumors. RT acts as a potent immunomodula...

GPCR Biology-Informed Drug Discovery in Asthma.

Advances in GPCR biology and drug-discovery technology are simultaneously reshaping what can be targeted in asthma and how those strategies must be va...

Large language model accuracy in inhaler technique counselling for asthma and COPD: A comparison of free and paid models across ten devices.

OBJECTIVE: To compare ten large language models (LLMs) from seven AI companies, across free and paid tiers, on inhaler technique instruction accuracy ...

[Advances in the application of artificial intelligence in the whole-course management of bronchial asthma].

Bronchial asthma (asthma) is a common chronic inflammatory airway disease with a steadily increasing global disease burden. Current asthma management ...