Latest AI and machine learning research in allergy for healthcare professionals.
Innovation refers to the introduction of a product, a process, a service or a solution resulting in ...
Recently, tumor immunotherapy based on immune checkpoint inhibitors (ICI) has been introduced and wi...
Kynurenine (Kyn) is a key inducer of an immunosuppressive tumor microenvironment (TME). Although ind...
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric c...
Macrophages play an important role in the adaptive immune system. Their ability to neutralize cellul...
AIMS: Immunohistochemical programmed death-ligand 1 (PD-L1) staining to predict responsiveness to im...
DNase I hypersensitive sites (DHSs) is important for identifying the location of gene regulatory ele...
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and thera...
OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-ch...
CT image information data under deep learning algorithms was adopted to evaluate small airway functi...
Cancer immunotherapy provides durable clinical benefit in only a small fraction of patients, and ide...
Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires e...
Algorithmically identifying the meaningful similarities between an assortment of molecules is a crit...
Advanced high-grade serous ovarian cancer continues to be a therapeutic challenge for those affected...
BACKGROUND: The penicillin adverse drug reaction (ADR) label is common in electronic health records ...
This study aimed to use artificial intelligence to determine whether biological and psychosocial fac...
Quantitative phase microscopy (QPM) enables studies of living biological systems without exogenous l...
Despite a high level of sequence identity between cow's, goat's, and sheep's milk (CM, GM, and SM, r...
T cells play a crucial role in controlling and driving the immune response with their ability to dis...
We propose a classification method using the radiomics features of CT chest images to identify patie...
This study presents the first application of convolutional neural networks to high-frequency ultraso...