Atopy

Bloom's taxonomy-based comparison of artificial intelligence and dental students in restorative dentistry.

BACKGROUND: The aim of this study is to compare the performance of three large language models (Chat...

Bioinformatic analysis of differentially expressed mitochondrion-related genes, immune cell infiltration, and diagnostic value in Alzheimer's disease.

BACKGROUND: Mitochondrial dysfunction and neuroinflammation are critically implicated in the pathoge...

Internally validated machine learning models identify asthma and its phenotypes using multicenter real-world data.

Asthma exhibits significant clinical heterogeneity, necessitating precise phenotyping for personaliz...

ASTHMA AT THE CROSSROADS: FROM ANTI-TNF-α SETBACKS TO NEXT-GENERATION BIOLOGICS TARGETING TYPE 1 AND TYPE 2 INFLAMMATION.

Severe asthma remains a major unmet clinical challenge due to its marked immunological heterogeneity...

Utility of E-Nose in Paediatric Respiratory Diseases Using Machine Learning Approach: A Pilot Study.

To assess the feasibility of an electronic nose (e-nose) for volatile organic compounds (VOCs) to cl...

DFT and machine learning investigation of Au/Pt-decorated SnS₂ monolayers for asthma and COPD diagnosis.

Asthma and Chronic Obstructive Pulmonary Disease (COPD) are among the most prevalent chronic respira...

Development and external validation of a dual-stage predictive model for self-reported physician-diagnosed chronic lung disease, asthma, and lung cancer in Chinese adults.

Chronic respiratory diseases represent a leading cause of global mortality, yet robust prediction to...

An AI-augmented review of childhood atopic dermatitis biomarkers across genetic, immune, microbial, and metabolic domains.

BACKGROUND: Atopic dermatitis (AD) is a prevalent inflammatory skin disease and a major source of di...

Identifying predictor factors for asthma using machine learning: evidence from the English Longitudinal Study of Ageing.

BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights...

Exploring potential key genes and mitotic catastrophe-associated correlates in sepsis-induced acute respiratory distress syndrome using transcriptomics and experimental validation.

BACKGROUND: Sepsis-induced acute respiratory distress syndrome (ARDS) is a life-threatening form of ...

Artificial intelligence and asthma: Pros, cons, and potential impact on community outcomes.

Artificial neural network modelling using complete blood count for the early detection of black lung disease among Indonesian coal miner: A retrospective longitudinal study.

BACKGROUND: Black lung disease remains a major occupational health problem among coal miners and is ...

Machine learning-based MPO and Lp-PLA2 profiling reveals asthma-predominant inflammatory signature in asthma-COPD overlap.

BACKGROUND: Asthma-COPD overlap (ACO) remains poorly characterized at the molecular level, leading t...

Diagnostic Model Construction of Mitochondrial-Mitophagy Related Genes and Their Regulatory Network and Potential Drug Discovery in Childhood Allergic Asthma.

Childhood allergic asthma (CAA) is a chronic airway inflammatory disorder driven by allergens, and i...

Identification and Experimental Verification of Key Genes Related to the Ras Signaling Pathway and the Hippo Signaling Pathway in Osteoarthritis Based on Transcriptome Data.

BACKGROUND: Osteoarthritis (OA) is a chronic degenerative joint disease characterized by the progres...

Calceolarioside B alleviates airway barrier dysfunction and inflammation via targeting P2Y6R in OVA-triggered asthma.

Asthma is a chronic inflammatory airway disease characterized by barrier dysfunction and excessive i...

Artificial intelligence (AI)-assisted diagnosis of skin diseases: From image classification to dermatology-specific multimodal clinical reasoning.

Artificial intelligence (AI) in dermatology has moved beyond the early paradigm of single-image clas...

Harnessing Machine Learning and Electronic Health Record Data to Improve Asthma Management.

PURPOSE OF REVIEW: The review examines the application of machine learning (ML) and large language m...

Diagnostic criteria for equine thoracolumbar myofascial pain syndrome: A foundational study.

Diagnostic criteria for myofascial pain syndrome (MPS) are well established in humans but remain und...

Augmenting Pediatric Care With Artificial Intelligence: Opportunities and Responsibilities for Nurse Practitioners.

BACKGROUND: Artificial intelligence (AI) is emerging as a critical tool for nurse practitioners deli...

Benzo(a)pyrene aggregating lung inflammation via inducing IL1R1 expression in asthma: Insights from network toxicology, single-cell transcriptomics, and Mendelian randomization.

OBJECTIVE: Exposure to benzo(a)pyrene (BaP) negatively affects lung inflammation in patients with as...