Dermatology

Atopy

Latest AI and machine learning research in atopy for healthcare professionals.

3,566 articles
Stay Ahead - Weekly Atopy research updates
Subscribe
Browse Specialties
Dermatology Subcategories: Atopy Psoriasis
Showing 22-42 of 3,566 articles
The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.

: Early identification and timely preventive interventions play an essential role for improving the ...

Machine Learning-Based Biomarker Discovery from Serum Trace Elements and Biochemical Parameters in Patients with Nasal Polyps.

Nasal polyps (NP) are benign mucosal outgrowths associated with chronic inflammation that can signif...

Digital health tools in the management of allergic rhinitis: a systematic review.

BACKGROUND: Allergic rhinitis (AR) is an IgE-related condition that causes problems for patients and...

Microglial pruning of glycinergic synapses disinhibits spinal PKCγ interneurons to drive pain hypersensitivity in mice.

Microglial activation is linked to neuroinflammation in neuropathic pain. Recently, microglia-mediat...

Machine learning-based model for acute asthma exacerbation detection using routine blood parameters.

BACKGROUND: Acute asthma exacerbations (AAEs) are a leading cause of asthma-related morbidity and mo...

Deep learning-based quantification of eosinophils and lymphocytes shows complementary prognostic effects in colorectal cancer patients.

The immune microenvironment of colorectal cancer is a major component of the disease and influences ...

Systematic Review: Use of Artificial Intelligence and Unmet Needs in Eosinophilic Oesophagitis.

BACKGROUND: Artificial intelligence (AI) has been applied extensively to eosinophilic oesophagitis (...

AI-Driven Biomarker Discovery and Personalized Allergy Treatment: Utilizing Machine Learning and NGS.

PURPOSEĀ OF REVIEW: This review explores the transformative potential of artificial intelligence (AI)...

Aerosol Measurements and Decadal Changes: The Role of Climatic Changes and How It Reflects in Respiratory Allergies and Asthma.

The causative agents of respiratory allergies are bioaerosols, such as house dust mite feces, pollen...

Forecasting Hospitalization for Adult Asthma Patients in Emergency Departments Based on Multiple Environmental and Clinical Factors.

BACKGROUND: Asthma is the world's second most prevalent chronic respiratory disease. Current clinica...

Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning.

BACKGROUND: Chronic eosinophilic pneumonia (CEP) can occur concurrently with chronic rhinosinusitis ...

Unbiased Quantification of Persistent Postural and Motor Deficits Following Spinal Cord Injury in Mice.

Spinal cord injury (SCI) causes multifaceted postural and motor impairments that are challenging to ...

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

A rapid accurate approach to inferring pedigrees in endogamous populations.

Accurate reconstruction of pedigrees from genetic data remains a challenging problem. Many relations...

Prediction pathway for severe asthma exacerbations: a Bayesian Network analysis.

BACKGROUND: Accurate risk prediction of exacerbations is pivotal in severe asthma management. Multip...

Development and Validation an Integrated Deep Learning Model to Assist Eosinophilic Chronic Rhinosinusitis Diagnosis: A Multicenter Study.

BACKGROUND: The assessment of eosinophilic chronic rhinosinusitis (eCRS) lacks accurate non-invasive...

ITGAV, a specific biomarker associated with the pathogenesis of idiopathic pulmonary fibrosis.

Objective Idiopathic pulmonary fibrosis (IPF), which radiologically/pathologically manifests mainly ...

Identification of pyroptosis-related gene S100A12 as a potential diagnostic biomarker for sepsis through bioinformatics analysis and machine learning.

Sepsis is a non-discriminatory inflammatory reaction that can result in a diverse array of organ dys...

Managing chronic disease in the digital era: The role of telemedicine apps and platforms.

Chronic diseases such as diabetes, heart disease, or asthma are one of the biggest health challenges...

Altered static and dynamic functional network connectivity and combined Machine learning in asthma.

Asthma is a reversible disease characterized by airflow limitation and chronic airway inflammation. ...

Development and validation of a machine learning risk prediction model for asthma attacks in adults in primary care.

Primary care consultations provide an opportunity for patients and clinicians to assess asthma attac...

Browse Specialties