Latest AI and machine learning research in allergy & immunology for healthcare professionals.
In our recent transcriptomic meta-analysis, we used random forest machine learning to accurately pre...
DNase I hypersensitive site (DHS) refers to the hypersensitive region of chromatin for the DNase I e...
Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely limited treat...
The accurate quantification of tumor-infiltrating immune cells turns crucial to uncover their role i...
BACKGROUND: Currently, only a fraction of patients with non-small cell lung cancer (NSCLC) treated w...
PURPOSE: To characterize corneal subbasal nerve plexus features of normal and simian immunodeficienc...
Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, tr...
Although clinical and laboratory data have long been used to guide medical practice, this informatio...
The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehens...
Viral rhinitis contributes significantly to olfactory dysfunction, but it is unclear how many patien...
BACKGROUND: Cutaneous warts are common benign skin lesions caused by human papillomavirus. Various t...
A rapid and accurate analysis method based on ultra-high performance liquid chromatography coupled w...
PURPOSE OF REVIEW: Artificial intelligence has pervasively transformed many industries and is beginn...
Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple ...
OBJECTIVE: To observe the effect of moxa-cone moxibustion at lung's back- points and front- points o...
P. petiolosa as a typical Chinese herbal medicine has been generally utilized as Chinese native medi...
Although ebastine (EBT) can impede histamine-induced skin allergic reaction and persuade long acting...
PURPOSE OF REVIEW: The success of organ transplant is determined by number of demographic, clinical,...
Clinical text classification is an indispensable and extensively studied problem in medical text pro...
The advent of intelligent image-activated cell sorting (iIACS) has enabled high-throughput intellige...
The structural design parameters of a medical microrobot, such as the morphology and surface chemist...