Latest AI and machine learning research in allergy & immunology for healthcare professionals.
INTRODUCTION: Animal-assisted therapy is gaining popularity as part of therapeutic activities for ol...
Protein immunogenicity is a major cause of biologic drug failure, leading to the production of anti-...
Human immunodeficiency virus type 1 (HIV-1) exhibits extensive genetic diversity, posing a major cha...
Super-enhancers (SEs) drive cell-identity gene expression, yet their identification relies on epigen...
Longitudinal studies with human participants frequently face the challenge of missing samples, which...
Understanding tissue organization requires accurate molecular quantification and faithful spatial lo...
Ensuring the safety and suitability of proteins considered for food and biotechnology applications i...
Gastric Adenocarcinoma is a leading cause of cancer mortality. Although "Inflamed/Non-Inflamed" subt...
Social bees are important pollinators that support biodiversity and crop pollination globally and se...
A comparative explainability framework is presented to audit DeBERTa-v3 under zero-shot classificati...
Objective To evaluate the information quality, reliability, readability, and content deficits of Cha...
Cytokines are critical mediators of intercellular communication, and a comprehensive characterizatio...
Omnidirectional or 360 cameras provide embodied AI agents with a holistic, wide field-of-view (FoV) ...
BackgroundEarly-life air pollution exposure has been associated with childhood asthma, but its relat...
Pediatric endoscopy is performed only when clinically indicated, limiting access to healthy duodenal...
CD70 is well-recognized as a promising "pan-cancer: chimeric antigen receptor (CAR) T-cell target. P...
Public repositories of T cell receptor (TCR)-peptide-MHC (pMHC) interactions constitute a critical r...
Generative diffusion models have emerged as a class of powerful techniques for various imaging appli...
Modern Visual Place Recognition (VPR) methods excel on standard benchmarks yet remain brittle in fea...
Objective: Transformer-based models for clinical prediction using longitudinal electronic health rec...
Palynomorphs (microscopic, organic-walled fossils such as pollen, spores, and dinoflagellates) are i...