Search results for "Proof of Concept Study"

showing 2 items of 12 documents

Modular Assembly of Multimodal Imaging Agents through an Inverse Electron Demand Diels–Alder Reaction

2019

International audience; The combination of two imaging probes on a same biomolecule gives access to targeted bimodal imaging agents that can provide more accurate diagnosis, complementary information, or that may be used in different applications, such as PET imaging and fluorescence imagingassisted surgery. In this study, we demonstrate that dichlorotetrazine, a small, commercially available compound, can be used as a modular platform to easily assemble various imaging probes. Doubly-labeled tetrazines can then be conjugated to a protein through a biorthogonal IEDDA reaction. A series of difunctionalized tetrazine compounds containing various chelating agents and fluorescent dyes was synth…

[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingTetrazineBiomedical EngineeringContrast MediaPharmaceutical SciencebimodalBioengineeringNanotechnology02 engineering and technology[CHIM.THER]Chemical Sciences/Medicinal ChemistryMultimodal ImagingProof of Concept Study01 natural sciencesMiceAnimalsHumansInverse electron-demand Diels–Alder reactionFluorescent DyesPharmacologyMultimodal imagingchemistry.chemical_classificationCycloaddition Reaction010405 organic chemistryChemistrybusiness.industryBiomoleculeOrganic ChemistryModular design021001 nanoscience & nanotechnology0104 chemical sciencestrastuzumabProof of conceptSPECT-CTSite-specificfluorescence0210 nano-technologybusinessBiotechnology
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An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-C…

2020

Background Lifestyle diseases, because of adverse health behavior, are the foremost cause of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generation, and goal evaluation. Such an eCoach system needs to collect and transform distributed heterogenous health and wellness data into meaningful information to train an artificially intelligent health risk prediction model. However, it may produce a data compatibility dilemma. Our proposed eHealth ontology can increase interoperability between different heterogeneous networks, provide situation awareness, help in data integration, and discover…

recommendationDatabases Factual020205 medical informaticsComputer scienceinteroperabilityHealth Informatics02 engineering and technologyOntology (information science)SNOMED CTcomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsProof of Concept Studysensorhealthy lifestyle0202 electrical engineering electronic engineering information engineeringHumansSPARQLontologypropositionRDFsemanticsSemantic Webcomputer.programming_languagegoal settingOriginal PaperSSNInformation retrievalactivityquestionnairelcsh:Public aspects of medicinepersonalizedlcsh:RA1-1270eCoachcomputer.file_formatSemantic reasonerProtégésimulationTelemedicinenutritionautomatedlcsh:R858-859.7eHealth020201 artificial intelligence & image processingCDSScomputerRDF query languageData integrationJournal of Medical Internet Research
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