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dc.contributor.authorMilon Mayer, Pohl Luises_PE
dc.creatorUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.date.accessioned2015-02-19T23:16:38Zes_PE
dc.date.available2015-02-19T23:16:38Zes_PE
dc.date.issued2015-02-19es_PE
dc.identifier.urihttp://hdl.handle.net/10757/344615es_PE
dc.description.abstracteBioPhy is a diagnostic platform that uses biochemical and biophysical principles together with informatic and communication tools to probe the presence of pathogens in biological samples. The platform aims to bring real-time diagnostics to remote locations where health services are rare and it is based in two main principles: 1) The recognition of pathogens using fluorescently and chemically modified molecules, smart molecules. 2) Data collection and analysis using smartphone capabilities.
dc.formatapplication/pdfes_PE
dc.language.isoengeng
dc.publisherUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.relationinfo:eu-repo/grantAgreement/CONCYTEC/FONDECYT/090_2014/SmartPhones feat SmartMolecules_PohlMillones_PE
dc.relation.urlhttp://directorio.concytec.gob.pe/appDirectorioCTI/VerDatosInvestigador.do;jsessionid=d3168c7161537e2ab2cc3985c75e?id_investigador=10033es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.subjectMalariaes_PE
dc.subjecteBioPhyes_PE
dc.subjectFluorescenciaes_PE
dc.titleSmartPhones feat SmartMolecules: eBioPhy brings rapid diagnosis to remote locationses_PE
dc.title.alternativeSmartphones encuentran moleculas inteligentes: eBioPhy lleva diagnóstico rápido a zonas remotases_PE
dc.typeinfo:eu-repo/semantics/reportes_PE
dc.description.fundingProyecto financiado por el FINCyT y el Gobierno de Canadá (Grand Challenges Canada, Bold Idea with Bog impact). Se inicia inica en Octubre 2014 y finaliza en Abril 2016. La instituciones particpantes son Universidad Peruana de Ciencias Aplicadas - UPC y el Instituto de Investigación Nutricional - IIN. Lima, Perúes_PE
refterms.dateFOA2018-06-15T09:44:22Z
html.description.abstracteBioPhy is a diagnostic platform that uses biochemical and biophysical principles together with informatic and communication tools to probe the presence of pathogens in biological samples. The platform aims to bring real-time diagnostics to remote locations where health services are rare and it is based in two main principles: 1) The recognition of pathogens using fluorescently and chemically modified molecules, smart molecules. 2) Data collection and analysis using smartphone capabilities.


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