Atopy

Manual and automated capture of analgesic-responsive facial pain behaviors of unrestrained mice in a trigeminal neuralgia model.

Trigeminal neuralgia (TN), a devastating neuropathic pain condition, profoundly affects human well-being. Despite an initial response to carbamazepine (CBZ), many patients become refractory to pharmacotherapy and subsequent invasive procedures. Although preclinical trigeminal neuropathic pain models following extracranial chronic constriction injury (CCI) of the trigeminal nerve have been develope...

AI-Driven Digital Tools for Atopic Dermatitis: A Scoping Review.

BACKGROUND: Atopic dermatitis (AD) affects around 20% of children and up to 10% of adults. Its fluctuating course, severe pruritus, and impact on sleep, mental health, and daily functioning highlight the need for innovative approaches to diagnosis and disease management. Digital health technologies have rapidly expanded to fill this gap, yet their clinical readiness remains uncertain. OBJECTIVES: ...

Integrated Identification of NAD⁺ Metabolism-Associated Candidate Genes.

Migraine is one of the most disabling neurological diseases globally; however, a significant proportion of patients do not respond to current treatmen...

Non-invasive prediction of dupilumab response in facial atopic dermatitis using early post-treatment reflectance confocal microscopy features.

BACKGROUND: Non-invasive prediction of the efficacy of dupilumab on facial lesions in patients with atopic dermatitis (AD) was unresolved. OBJECTIVE: ...

Serum-Proteomic Profiling Reveals Distinct Atopic Dermatitis Severity-Linked Signatures.

INTRODUCTION: Atopic Dermatitis (AD) is a chronic inflammatory skin disease characterized by complex pathogenesis, variable clinical phenotypes, and b...

Gut Microbiota and Inflammatory Diseases: Emerging Insights and Therapeutic Perspectives. A Report From the Spanish Inflammatory Diseases Network.

The gut microbiota constitutes a highly complex ecosystem that plays a pivotal role in maintaining human health and modulating the immune response. Dy...

Integrative multi-omics and machine learning identify CHRNA1 putative circadian-immune hub in COPD.

BACKGROUND: Circadian rhythm disruption is increasingly recognized as a contributor to chronic inflammatory disorders; however, its specific significa...

Educational Artificial Intelligence Software to Support Assessment of Atopic Dermatitis Severity.

Accurate assessment of the severity of atopic dermatitis is crucial for guiding treatment. However, the Eczema Area and Severity Index (EASI), a widel...

Aberrant mucin expression and keratinization distinguishing severe from mild asthma revealed by interpretable machine learning.

Type 2 (T2) immune cells dominate the airways of mild-moderate asthma (MMA) patients with a more complex Type 1 (T1)-T2 mixed immune response evident ...

PRACTALL 2025: Artificial intelligence-application of allergy and immunology to patient care.

Artificial intelligence (AI), first defined in 1955 by John McCarthy, has transformed daily life across industries through applications such as chatbo...

Epitope-Specific IgE Profiles are Predictive of Desensitization and Remission in the IMPACT Trial.

BACKGROUND: Results from the IMPACT trial suggest that initiation of peanut oral immunotherapy (pnOIT) before age 4 years can increase chances of achi...

Integration of hierarchical clustering in hematologic biomarkers prediction for endocrine toxicity during immunotherapy in lung cancer patients.

Immune check-point inhibitors (ICIs) have outstandingly changed the treatment for lung cancer patients providing longer progression-free (PFS) and ove...

Identification and analysis of EphrinB2/EphB4 signaling pathway and angiogenesis related biomarkers in coronary artery disease based on bioinformatics.

BACKGROUND: EphrinB2 and its receptor EphB4 have been reported to play a crucial role in the development of the cardiovascular system, and the process...

Mitochondria-localized protein-encoding genes and programmed cell death-related genes reveal potential molecular perturbations underlying spontaneous preterm birth.

BACKGROUND: Multiple programmed cell death (PCD) modalities, including apoptosis, autophagy, and ferroptosis, are closely implicated in spontaneous pr...

Hierarchically ordered ERGO-L-Cys flower-like nanospheres on screen-printed electrodes for electrochemical immunosensing of cow's milk specific IgE with machine learning-assisted calibration.

Cow's milk-specific IgE (sIgE) is a crucial serum biomarker for cow's milk allergy (CMA) in children. However, its low abundance and the scarcity of r...

Plasma proteomics and machine learning deliver non-invasive distinction between fibrotic hypersensitivity pneumonitis and idiopathic pulmonary fibrosis.

BACKGROUND: Hypersensitivity pneumonitis (HP) manifests as fibrotic (FHP) and non-fibrotic (NFHP) phenotypes. Clinically distinguishing FHP from idiop...

Development and validation of a routine blood test-based model to predict in-hospital postoperative pulmonary infection in older patients with hip fracture.

BACKGROUND: Postoperative pulmonary infection (PPI) is a common and serious complication in older adults undergoing hip fracture surgery, leading to p...

Data-efficient machine learning approach for predicting asthma attack risk.

Asthma caused around 436,000 deaths globally in 2021. Predicting asthma attacks can save lives, reduce costs, and strengthen healthcare systems. Howev...

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 (ChatGPT 5, Microsoft Copilot, and Google Gemini 3), wi...

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 pathogenesis of Alzheimer's disease (AD). However, a syst...