An adaptive semantic retrieval framework for digital libraries integrating graph neural networks, ontology, and user behavior. [PDF]
Bi R.
europepmc +1 more source
Ontology-based annotation and query of tissue microarray data.
Nigam H. Shah +3 more
openalex +1 more source
The Epistemology and Ontology of the Chamus in Kenya: The Human Body as Nature
Kaori Kawai
openalex +2 more sources
Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang +51 more
wiley +1 more source
Three-layered semantic framework for public health intelligence. [PDF]
Guru Rao S +8 more
europepmc +1 more source
The Pathogenic Roles of Local Vitamin D Metabolism Defect in Valve Inflammation and Calcification
This study identifies the valvular interstitial cell populations responsible for valvular calcification induced by hyperphosphatemia and likely aging, uncovers local vitamin D metabolism defect‐induced inflammation as a critical pathogenic factor of calcific aortic valve disease, and highlights active vitamin D and ERK inhibitor as potential preventive
Ruichen Yang +10 more
wiley +1 more source
This study provides evidence that anesthesia/surgery can induce the BBB breakdown and promote the release of hepatogenous C3 protein into the blood. This surgical dual factors ultimately drove C3 to cross the damaged BBB and selectively colocalize with C3aR in the hippocampus, which results in structural and functional injury of synapse, C3aR‐mediated ...
Qianqian Wu +17 more
wiley +1 more source
RareLink: scalable REDCap-based framework for rare disease interoperability linking international registries to FHIR and Phenopackets. [PDF]
Graefe ASL +27 more
europepmc +1 more source
Ontology Matching: State of the Art and Future Challenges
P. Shvaiko, J. Euzenat
semanticscholar +1 more source
Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang +32 more
wiley +1 more source

