Latest AI and machine learning research in atopy for healthcare professionals.
Amelogenesis imperfecta (AI) affects enamel on primary and permanent dentition. This hereditary diso...
Multi-marker approaches have received a lot of attention recently in genome wide association studies...
We report one case of yolk sac tumor of the ear and review the literature. The patient was a 9-month...
BACKGROUND: This paper presents a system for classification of asthma and chronic obstructive pulmon...
The Gram-negative bacterium Xanthomonas euvesicatoria (Xcv) is the causal agent of bacterial spot di...
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...
Super-enhancers (SEs) drive cell-identity gene expression, yet their identification relies on epigen...
A comparative explainability framework is presented to audit DeBERTa-v3 under zero-shot classificati...
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...
Objective: Transformer-based models for clinical prediction using longitudinal electronic health rec...
Predictive models over structured electronic health records (EHRs) remain central to machine learnin...
Foundation models trained on electronic healthcare records (EHRs) have gained traction with the aim ...
Pediatric electronic health records capture developmentally structured clinical trajectories, yet th...
Chemotherapy-induced peripheral neuropathy (CIPN) is a common and painful side effect of paclitaxel ...
Bone marrow smear review remains important for acute myeloid leukemia (AML) assessment, but manual s...
This study aims to explore the performance of the VAR model in comparison with mel-frequency cepstra...
Background: Store-and-forward teledermatology commonly relies on several patient-submitted photograp...
Objectives: Large language models (LLMs) have shown promise in creating clinical codelists for resea...
Noncontact exfiltration of electronic screen content poses a security challenge, with side-channel i...