Atopy

Leveraging Artificial Intelligence in Allergy, Asthma, and Immunology With Environmental Exposures.

Artificial intelligence (AI) in environmental health science is revolutionizing data analysis and pr...

A new era beckons in asthma: enhanced models of care, disease remission, artificial intelligence and consumer participation.

The landscape of asthma management is undergoing significant transformation. This change is driven b...

How to quickly determine whether patients with chronic cough need corticosteroid treatment--construction of a predictive model for corticosteroid-responsive cough in chronic cough.

Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication t...

AI-based prediction of aspirin-exacerbated respiratory disease using nasal epithelial mRNA expression profiles.

BACKGROUND: Aspirin-exacerbated respiratory disease (AERD) is a distinct asthma endotype marked by a...

On-device cough detection and respiratory disease classification enhanced by generative data augmentation.

BACKGROUND: Cough sounds are accessible, non-invasive biomarkers for respiratory disease assessment ...

Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.

PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of peop...

AI-Based Quantitative Nasal Cytology for Predicting Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Pilot Study.

AI for predicting exacerbations in KIDs with asthma (AIRE-KIDS).

Recurrent acute care visits are a common yet preventable outcome for many children with asthma. Mach...

Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.

Sepsis is a life-threatening organ malfunction induced by the host's abnormal reaction to infection....

Artificial intelligence-based models in predicting acute exacerbations and diagnosing pediatric asthma: a systematic review and meta-analysis.

PURPOSE: This systematic review and meta-analysis evaluated the performance of artificial intelligen...

Machine learning-driven drug repurposing for GPR17: activity prediction via graph neural networks and multistage computational validation.

To identify novel GPR17-targeting ligands with potential relevance to multiple sclerosis (MS) therap...

The evolution of scientific knowledge in childhood asthma over time.

Paediatric asthma management has undergone a significant transformation from rudimentary assessments...

Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.

Severe asthma remains a challenging, heterogeneous condition, despite significant advances in therap...

Tobacco rattle virus triggers local defense and systemically coordinates taxoid biosynthesis in Taxus baccata revealed by integrated metabolic analysis.

The clinical demand for paclitaxel necessitates novel strategies to enhance its production. While re...

Machine learning prediction of surgical approach and clinical heterogeneity in cervical spondylotic myelopathy.

BACKGROUND: Preoperative planning of the surgical approach for cervical spondylotic myelopathy (CSM)...

Air pollution-related health impacts from domestic waste burning and associated interventions: the merits of a traditional versus machine learning scoping review methodology.

Regularly updating repositories of air pollution impacts on health is essential for evidence-based p...

Few-shot learning-driven discovery of Lutein suppresses Th1-mediated inflammation via glucose metabolism.

The discovery of selective immunosuppressants for T cell-mediated diseases like Ulcerative Colitis (...

Predictors of the Efficacy of Focused Ultrasound for Moderate-to-Severe Persistent Allergic Rhinitis: A Retrospective Cohort Study.

BACKGROUND: Focused ultrasound (FUS) has achieved favorable results in the treatment of allergic rhi...

Identification of diagnostic senescence-associated marker genes in asthma based on machine learning and experimental validation.

BACKGROUND AND AIMS: Asthma imposes a significant global health burden; however, the mechanistic rol...

Developing and validating an electronic health record-embedded AI model for managing multimorbid hospitalisation risk in patients with chronic RESpiratory disease (AiRES): a study protocol.

BACKGROUND: Chronic respiratory diseases (CRDs), such as asthma and chronic obstructive pulmonary di...

Canadian radiology: 2026 update.

Canadian radiology continues to produce scholarship that is technically sophisticated, clinically re...