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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2022-03-03T15:06:52Z
dc.date.available2022-03-03T15:06:52Z
dc.date.issued2020-09-01
dc.identifier.citationNieto-Chaupis, H. (2020, July). The Feynman Propagator to Model Molecular Communications Between an Engineered Nanodevice and Beta Cells. In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) (pp. 203-207). IEEE.es_PE
dc.identifier.isbn978-1-7281-9429-5
dc.identifier.issn2372-9198
dc.identifier.urihttps://hdl.handle.net/20.500.13067/1707
dc.description.abstractIn a prospective scenario of nanomedicine, an engineered cargo of nanoparticles would be crucial to alleviate diseases that might to require of a precise doses of biochemical compounds in situ. In this paper, the technique of Feynman's propagator to estimate the probability amplitude in the different paths of a charged nanoparticle that would opt to reach a beta cell, is employed. The aim is to generate the artificial releasing of granules of insulin in beta cells to avoid hyperglycemia in those diabetes patients. For this end the quantum mechanics evolution operator is employed. Once the square of the amplitudes are calculated, it leads to analyzed the cases in where repulsive electric forces might to cause to decrease the chance of nanoparticle to go through the cell. Computational simulations are presented.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherInstitute of Electrical and Electronics Engineerses_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.sourceAUTONOMAes_PE
dc.subjectNanoparticleses_PE
dc.subjectIonses_PE
dc.subjectLogic gateses_PE
dc.subjectNanomedicinees_PE
dc.subjectInsulines_PE
dc.subjectTrajectoryes_PE
dc.subjectQuantum mechanicses_PE
dc.titleThe Feynman Propagator to Model Molecular Communications Between an Engineered Nanodevice and Beta Cellses_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)es_PE
dc.identifier.doihttps://doi.org/10.1109/CBMS49503.2020.00046
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.publisher.countryPEes_PE
dc.relation.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85091175149&doi=10.1109%2fCBMS49503.2020.00046&partnerID=40&es_PE
dc.source.beginpage203es_PE
dc.source.endpage207es_PE


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