Latest AI and machine learning research in allergy & immunology for healthcare professionals.
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...
This study presents the first application of convolutional neural networks to high-frequency ultraso...
Fast and simple detection of C-reactive protein (CRP) is highly significant for the diagnosis and pr...
For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitativ...
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...
Anti-PD-1 immunotherapy has recently shown tremendous success for the treatment of several aggressiv...
OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including var...
While many diseases of aging have been linked to the immunological system, immune metrics capable of...
Acquired immune deficiency syndrome (AIDS) is a fatal disease caused by human immunodeficiency virus...
Allergic diseases have been the epidemic of the century among chronic diseases. Particularly for pol...
Advances in artificial intelligence and machine learning have fueled growing interest in the applica...
Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequent...
Although deep learning algorithms show increasing promise for disease diagnosis, their use with rapi...
The ability to kill infecting microbes is an essential facet of our immune response to an infection....
Human Breast Milk (HBM) is a storehouse of micronutrients, macronutrients, immune factors, microbiot...
Limitations of Normalized Difference Vegetation Index (NDVI) potentially contributed to the inconsis...
With applications in object detection, image feature extraction, image classification, and image seg...