Latest AI and machine learning research in atopy for healthcare professionals.
BACKGROUND: There are significant variabilities in guideline-concordant documentation in asthma care...
Asthma is a common disease with profoundly variable natural history and patient morbidity. Heterogen...
CT image information data under deep learning algorithms was adopted to evaluate small airway functi...
Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires e...
Identifying the microbe-disease associations is conducive to understanding the pathogenesis of disea...
Despite a high level of sequence identity between cow's, goat's, and sheep's milk (CM, GM, and SM, r...
We propose a classification method using the radiomics features of CT chest images to identify patie...
BACKGROUND AND OBJECTIVE: Chronic cough (CC) affects approximately 10% of adults. Many disease state...
BACKGROUND: For eosinophilic esophagitis (EoE), a substantial diagnostic delay is still a clinically...
Upon invasion by foreign pathogens, specific antibodies can identify specific foreign antigens and d...
RATIONALE: Clinical decision support (CDS) tools leveraging electronic health records (EHRs) have be...
DNA-binding proteins (DBPs) perform an influential role in diverse biological activities like DNA re...
OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including var...
Limitations of Normalized Difference Vegetation Index (NDVI) potentially contributed to the inconsis...
Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide ...
Comorbidity is an important factor to consider when trying to predict the cost of treating asthma pa...
Chronic airway diseases are characterized by airway inflammation, obstruction, and remodeling and sh...
OBJECTIVE: The ability to predict impending asthma exacerbations may allow better utilization of hea...
Physicians taking care of patients with COVID-19 have described different changes in routine blood p...
Machine learning reveals pathways to neuroendocrine tumor (NET) diagnosis. Patients with NET and a...
As COVID-19 is highly infectious, many patients can simultaneously flood into hospitals for diagnosi...