Latest AI and machine learning research in allergy for healthcare professionals.
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being...
Drug-induced eosinophilia is a potentially life-threatening adverse effect; clinical manifestations,...
A novel simple, direct and selective gas chromatography-mass spectrometry (GC/MS) procedure was deve...
INTRODUCTION: Animal-assisted therapy is gaining popularity as part of therapeutic activities for ol...
Designing next-generation Chimeric Antigen Receptors (CARs) requires a systematic understanding of i...
Protein immunogenicity is a major cause of biologic drug failure, leading to the production of anti-...
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...
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...
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...
Modern Visual Place Recognition (VPR) methods excel on standard benchmarks yet remain brittle in fea...
Palynomorphs (microscopic, organic-walled fossils such as pollen, spores, and dinoflagellates) are i...
Predicting immunotherapy response from single-cell data remains difficult due to patient-level label...
In large data sets discovery is often limited to pre-conceived hypotheses and data fishing. Here we ...
Adverse drug reactions (ADRs) are a major, largely preventable source of patient harm. In high-incom...