Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus

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In this paper, we explore the prospects of applicability for the sensing of proteins inside the framework of the IoB NT [1] for anticipating the diabetes kidney disease (DKD), from the identification of negatively charged proteins of albumin which are already passing the glomerular layers located in...

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Detalles Bibliográficos
Autor: Nieto Chaupis, Huber
Formato: objeto de conferencia
Fecha de Publicación:2017
Institución:Universidad de Ciencias y Humanidades
Repositorio:UCH-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.uch.edu.pe:uch/372
Enlace del recurso:http://repositorio.uch.edu.pe/handle/uch/372
https://ieeexplore.ieee.org/document/7897254
http://dx.doi.org/10.1109/BHI.2017.7897254
Nivel de acceso:acceso embargado
Materia:Efficiency
Detectability
High-efficiency
Kidney disease
Negatively charged
Type-2 diabetes
Proteins
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spelling Nieto Chaupis, Huber16 February 2017 through 19 February 20172019-08-25T21:22:05Z2019-08-25T21:22:05Z2017-02Nieto Chaupis, H. (Febrero, 2017). Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus. En EMBS International Conference on Biomedical & Health Informatics, USA.http://repositorio.uch.edu.pe/handle/uch/372https://ieeexplore.ieee.org/document/7897254http://dx.doi.org/10.1109/BHI.2017.789725410.1109/BHI.2017.7897254IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 20172-s2.0-85018379563In this paper, we explore the prospects of applicability for the sensing of proteins inside the framework of the IoB NT [1] for anticipating the diabetes kidney disease (DKD), from the identification of negatively charged proteins of albumin which are already passing the glomerular layers located in the kidney. The expected high efficiency of the interfaces between the biochemical domains and the standard electromagnetic networks devices might guarantee a continuous surveillance that aims to identify in time, the beginning of abnormal functionality of kidneys through a dedicate sensing of albumin. Concretely, we focus in the detectability of albumin considering its main noise given by the Tamm-Horsfall's proteins. Our simulations have encountered that the efficiency for sensing of albumin passing the glomerulus might be at least of order of 60% ± 5%.Submitted by sistemas uch (sistemas@uch.edu.pe) on 2019-08-25T21:22:05Z No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5)Made available in DSpace on 2019-08-25T21:22:05Z (GMT). No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5) Previous issue date: 2017-02EMB;IEEE;IEEE Communications Society (IEEE ComSoc)engInstitute of Electrical and Electronics Engineers Inc.info:eu-repo/semantics/articleIEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017info:eu-repo/semantics/embargoedAccessRepositorio Institucional - UCHUniversidad de Ciencias y Humanidadesreponame:UCH-Institucionalinstname:Universidad de Ciencias y Humanidadesinstacron:UCHEfficiencyDetectabilityHigh-efficiencyKidney diseaseNegatively chargedType-2 diabetesProteinsProspects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulusinfo:eu-repo/semantics/conferenceObjectuch/372oai:repositorio.uch.edu.pe:uch/3722019-12-20 18:34:00.819Repositorio UCHuch.dspace@gmail.com
dc.title.en_PE.fl_str_mv Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus
title Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus
spellingShingle Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus
Nieto Chaupis, Huber
Efficiency
Detectability
High-efficiency
Kidney disease
Negatively charged
Type-2 diabetes
Proteins
title_short Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus
title_full Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus
title_fullStr Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus
title_full_unstemmed Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus
title_sort Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus
author Nieto Chaupis, Huber
author_facet Nieto Chaupis, Huber
author_role author
dc.contributor.author.fl_str_mv Nieto Chaupis, Huber
dc.subject.en_PE.fl_str_mv Efficiency
topic Efficiency
Detectability
High-efficiency
Kidney disease
Negatively charged
Type-2 diabetes
Proteins
dc.subject.en.fl_str_mv Detectability
High-efficiency
Kidney disease
Negatively charged
Type-2 diabetes
Proteins
description In this paper, we explore the prospects of applicability for the sensing of proteins inside the framework of the IoB NT [1] for anticipating the diabetes kidney disease (DKD), from the identification of negatively charged proteins of albumin which are already passing the glomerular layers located in the kidney. The expected high efficiency of the interfaces between the biochemical domains and the standard electromagnetic networks devices might guarantee a continuous surveillance that aims to identify in time, the beginning of abnormal functionality of kidneys through a dedicate sensing of albumin. Concretely, we focus in the detectability of albumin considering its main noise given by the Tamm-Horsfall's proteins. Our simulations have encountered that the efficiency for sensing of albumin passing the glomerulus might be at least of order of 60% ± 5%.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2019-08-25T21:22:05Z
dc.date.available.none.fl_str_mv 2019-08-25T21:22:05Z
dc.date.issued.fl_str_mv 2017-02
dc.type.en_PE.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
dc.identifier.citation.en_PE.fl_str_mv Nieto Chaupis, H. (Febrero, 2017). Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus. En EMBS International Conference on Biomedical & Health Informatics, USA.
dc.identifier.uri.none.fl_str_mv http://repositorio.uch.edu.pe/handle/uch/372
https://ieeexplore.ieee.org/document/7897254
http://dx.doi.org/10.1109/BHI.2017.7897254
dc.identifier.doi.en_PE.fl_str_mv 10.1109/BHI.2017.7897254
dc.identifier.journal.en_PE.fl_str_mv IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85018379563
identifier_str_mv Nieto Chaupis, H. (Febrero, 2017). Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus. En EMBS International Conference on Biomedical & Health Informatics, USA.
10.1109/BHI.2017.7897254
IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
2-s2.0-85018379563
url http://repositorio.uch.edu.pe/handle/uch/372
https://ieeexplore.ieee.org/document/7897254
http://dx.doi.org/10.1109/BHI.2017.7897254
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.en_PE.fl_str_mv info:eu-repo/semantics/article
dc.relation.ispartof.none.fl_str_mv IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
dc.rights.en_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.coverage.temporal.none.fl_str_mv 16 February 2017 through 19 February 2017
dc.publisher.en_PE.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.en_PE.fl_str_mv Repositorio Institucional - UCH
Universidad de Ciencias y Humanidades
dc.source.none.fl_str_mv reponame:UCH-Institucional
instname:Universidad de Ciencias y Humanidades
instacron:UCH
instname_str Universidad de Ciencias y Humanidades
instacron_str UCH
institution UCH
reponame_str UCH-Institucional
collection UCH-Institucional
repository.name.fl_str_mv Repositorio UCH
repository.mail.fl_str_mv uch.dspace@gmail.com
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score 13.962467
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