Latest AI and machine learning research in allergy & immunology for healthcare professionals.
ETHNOPHARMACOLOGICAL RELEVANCE: As a traditional Chinese medicine, Artemisia argyi has been used med...
Intravenous indocyanine green (IV ICG) is regarded as a safe immunofluorescence agent used to assess...
Large language models (LLMs) such as ChatGPT have potential applications in healthcare, including de...
Bronchial asthma is a prevalent non-communicable disease among children. The study collected clinica...
Severe asthma is a chronic inflammatory airway disease with great therapeutic challenges. Understand...
BACKGROUND: T-cells play a crucial role in the adaptive immune system by triggering responses agains...
This study aimed to investigate the geospatial distribution of normal reference values of Interleuki...
Convolutional neural networks (CNNs) have the potential to assist allergists and dermatologists in ...
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many casualties wor...
Pollen and tracheophyte spores are ubiquitous environmental indicators at local and global scales. P...
The pectoralis muscle is an important indicator of respiratory muscle function and has been linked t...
This article expands on recent studies of machine learning or artificial intelligence (AI) algorithm...
BACKGROUND: The aging process affects all systems of the human body, and the observed increase in in...
Substantial progress has been made in using deep learning for cancer detection and diagnosis in medi...
Computational de novo drug design is a challenging issue in medicine, and it is desirable to conside...
The field of medicine is witnessing an exponential growth of interest in artificial intelligence (AI...
Spatial biology is a rapidly developing field which enables the visualization of protein and transcr...
BACKGROUND: The tumor microenvironment (TME) performs a crucial function in the tumorigenesis and re...