Atopy

Cough biomarkers for diagnosis and monitoring of respiratory disease: a systematic review.

Cough is a common and physiologically informative component of respiratory morbidity, but its potential for diagnosing and monitoring disease is not thoroughly investigated. This systematic review synthesised the literature on algorithmic and statistical models analysing cough acoustics for diagnosing or monitoring respiratory conditions. Following PRISMA (Preferred Reporting Items for Systematic ...

Quality of AI chatbot-generated information on hypersensitivity pneumonitis for clinical and patient use.

BACKGROUND AND AIM: Hypersensitivity pneumonitis (HP) is a complex, immüne mediated interstitial lung disease in which accurate diagnosis and long term management require integration of clinical, radiologic, and exposure-related information. Patients increasingly use artificial intelligence (AI) based chatbots to obtain disease related information; however, the quality, readability, and patient us...

Bone marrow CCR3 dictates eosinophil lineage commitment of CD34⁺ progenitors to orchestrate allergic rhinitis: A composite study.

BACKGROUND: Allergic rhinitis (AR) is a common Th2-mediated inflammatory disease of the nasal mucosa, in which eosinophils serve as pivotal effector c...

Pathway-level epigenetic modeling illuminates the methylation architecture to asthma risk across tissues.

BACKGROUND: Asthma is a clinically heterogeneous airway disorder characterized by complex interactions between environmental exposures, immune activat...

Determinants of Poor Health-Related Quality of Life in Patients With Food Allergy.

BACKGROUND: Food allergy (FA) significantly impairs health-related quality of life (HRQL), yet its key determinants remain unclear. This study aimed t...

Deep Learning vs. Traditional Machine Learning in the Diagnosis of Cutaneous Drug Eruptions: A Comparative Study with Explainable AI on Whole-Slide Images.

Histopathological diagnosis of cutaneous drug eruptions (CDEs) presents a challenge in dermatopathology due to morphological overlap and high inter-ob...

Effect of an electronic health record-integrated machine learning asthma risk marker on pediatrician prognostic accuracy during preschool age: a pilot randomized clinical trial.

Early identification of children at risk for persistent asthma is challenging because preschool respiratory symptoms are heterogeneous and often overl...

Machine learning discriminates bacterial, fungal, and viral infections using temporal blood analyte dynamics in bottlenose dolphins (Tursiops truncatus).

OBJECTIVE: To determine underlying infectious disease as bacterial, fungal, or viral in origin from longitudinal assessment of biochemistry and hemato...

Allergic rhinitis in the elderly. In collaboration with ARIA guidelines.

Rhinitis in the elderly represents a unique challenge, due to specific clinical profiles, needs and expectations. Allergic rhinitis (AR) in the elderl...

Fatty acid synthesis therapy-induced senescence (FASTIS) in cancer cells.

Therapy-induced senescence (TIS) in cancer cells can be triggered by radiotherapy, chemotherapy, and certain targeted therapeutics. Here, we demonstra...

Drug-induced multisystem syndromes: An overlooked challenge in pharmacovigilance.

BackgroundDrug-Induced Multisystem Syndromes (DIMS) represent a clinically significant yet under-recognized group of delayed immune-mediated adverse d...

A customized AI-based machine learning model for evaluating participants' activities under a workshop setting.

Human action recognition (HAR) in the workshop-style environment poses unique challenges due to class imbalance, fused action boundaries, and context ...

Identification of Novel Diagnostic Biomarkers and Host-Directed Drug Screening for Mycobacterium avium Infection: A Multi-Omics and Artificial Intelligence Study.

OBJECTIVE: The rising incidence of Mycobacterium avium (MAV) infection poses significant challenges due to diagnostic delays and refractory treatment....

High spatiotemporal resolution assessment of PM2.5 and NO2 exposure and respiratory health inequality in Thailand.

Air pollution remains a critical environmental health challenge in Thailand, yet evidence linking high-resolution exposure to short-term respiratory h...

A multimodal approach to equine thoracolumbar myofascial pain: integrating clinical examination, AI-based gait analysis, and the ridden horse pain ethogram.

BACKGROUND: Myofascial pain syndrome (MPS) is considered highly prevalent in horses, yet it is frequently underdiagnosed due to limited understanding ...

Enhance autism spectrum disorder detection using stacking ensemble learning model with explainable AI.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is manifested by sensory abnormalities such as hypersensitivity to sound and touc...

Large Language Models Exhibit High Performance as Computable Phenotypes for Pediatric Asthma Exacerbation Detection in a Retrospective, Observational Study of Emergency Medical Services Encounters.

OBJECTIVES: Pediatric asthma exacerbations are a common emergent condition treated by prehospital emergency medical services (EMS). However, retrospec...

Atopic dermatitis.

Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disability-adjusted life-years burden, ranking 15th among ...

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

Artificial intelligence (AI) in environmental health science is revolutionizing data analysis and problem-solving approaches. These technologies facil...

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 by several factors: deeper understanding of asthma ...