Results 231 to 240 of about 1,266,792 (389)

Ontology-based annotation and query of tissue microarray data.

open access: green, 2006
Nigam H. Shah   +3 more
openalex   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

open access: yesAdvanced Science, EarlyView.
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]

open access: yesJ Biomed Semantics
Guru Rao S   +8 more
europepmc   +1 more source

The Pathogenic Roles of Local Vitamin D Metabolism Defect in Valve Inflammation and Calcification

open access: yesAdvanced Science, EarlyView.
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

Inhibiting Liver‐Derived C3 Protein Rescues Anesthesia/Surgery‐Induced Cognitive Impairment, Synaptic Disorders, and Microglial Phagocytosis

open access: yesAdvanced Science, EarlyView.
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]

open access: yesNPJ Genom Med
Graefe ASL   +27 more
europepmc   +1 more source

Ontology Matching: State of the Art and Future Challenges

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2013
P. Shvaiko, J. Euzenat
semanticscholar   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

open access: yesAdvanced Science, EarlyView.
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

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