Dermatology

Atopy

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

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Dermatology Subcategories: Atopy Psoriasis
Showing 358-378 of 3,566 articles
SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis.

Sexual dimorphism in prevalence, severity and genetic susceptibility exists for most common diseases...

Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms.

To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepati...

Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.

While there is a growing recognition of the association between depression and asthma, few studies h...

Artificial Intelligence and Family Medicine.

Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the pra...

Machine learning approaches for asthma disease prediction among adults in Sri Lanka.

Addressing the challenge of cost-effective asthma diagnosis amidst diverse symptom patterns among p...

Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-learning Approaches.

INTRODUCTION: To understand the risk factors of asthma, we combined genome-wide association study (G...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...

IgE anti-BP180 NC16A autoantibody in both serum and blister fluid samples does not correlate with disease activity of bullous pemphigoid.

The correlation between IgE anti-BP180 NC16A autoantibody and disease activity of bullous pemphigoid...

Sputum Neutrophil Gelatinase-Associated Lipocalin as a Biomarker in Asthma-COPD Overlap.

BACKGROUND: Asthma COPD overlap (ACO) is a consensus-based phenotype having characteristics of both ...

Handling Class Imbalance in Machine Learning-based Prediction Models: A Case Study in Asthma Management.

A data-driven prediction tool has the potential to provide early warning of an asthma attack and imp...

Automated Gas Chromatography Peak Alignment: A Deep Learning Approach using Greedy Optimization and Simulation.

The clinical significance of volatile organic compounds (VOC) in detecting diseases has been establi...

[Eight mm Port-Site Hernia Following Robot-Assisted Abdominoperineal Resection for Rectal Cancer-A Case Report].

A 70s woman with a history of asthma and dyslipidemia underwent a robot-assisted abdominoperineal re...

Developments in respiratory self-management interventions over the last two decades.

This paper describes developments in the fields of asthma and COPD self-management interventions (SM...

Utilizing Deep Learning on Limited Mobile Speech Recordings for Detection of Obstructive Pulmonary Disease.

Passive assessment of obstructive pulmonary disease has gained substantial interest over the past fe...

Digital Healthcare for Airway Diseases from Personal Environmental Exposure.

Digital technologies have emerged in various dimensions of human life, ranging from education to pro...

Machine learning-driven identification of early-life air toxic combinations associated with childhood asthma outcomes.

Air pollution is a well-known contributor to asthma. Air toxics are hazardous air pollutants that ca...

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network.

DNase I hypersensitive site (DHS) refers to the hypersensitive region of chromatin for the DNase I e...

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