Latest AI and machine learning research in atopy for healthcare professionals.
Automatic subphenotyping from electronic health records (EHRs)provides numerous opportunities to u...
In recent years, spatial computing Virtual Reality (VR) has emerged as a transformative technology...
Monitoring enables timely action which is critical in avoiding asthma attacks. With the abundance of...
Most complex diseases, including cancer and non-malignant diseases like asthma, have distinct mole...
This research aimed to examine the effectiveness of artificial intelligence applications in asthma a...
Automated diagnosis of eczema from digital camera images is crucial for applications that allow pati...
Sexual dimorphism in prevalence, severity and genetic susceptibility exists for most common diseases...
To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepati...
While there is a growing recognition of the association between depression and asthma, few studies h...
Addressing the challenge of cost-effective asthma diagnosis amidst diverse symptom patterns among p...
Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the pra...
INTRODUCTION: To understand the risk factors of asthma, we combined genome-wide association study (G...
The correlation between IgE anti-BP180 NC16A autoantibody and disease activity of bullous pemphigoid...
Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...
BACKGROUND: Asthma COPD overlap (ACO) is a consensus-based phenotype having characteristics of both ...
The clinical significance of volatile organic compounds (VOC) in detecting diseases has been establi...
A data-driven prediction tool has the potential to provide early warning of an asthma attack and imp...
A 70s woman with a history of asthma and dyslipidemia underwent a robot-assisted abdominoperineal re...
This paper describes developments in the fields of asthma and COPD self-management interventions (SM...