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

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dc.contributor.author Nieto Chaupis, Huber
dc.coverage.temporal 16 February 2017 through 19 February 2017
dc.date.accessioned 2019-08-25T21:22:05Z
dc.date.available 2019-08-25T21:22:05Z
dc.date.issued 2017-02
dc.identifier.citation 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. en_PE
dc.identifier.uri http://repositorio.uch.edu.pe/handle/uch/372
dc.identifier.uri https://ieeexplore.ieee.org/document/7897254
dc.identifier.uri http://dx.doi.org/10.1109/BHI.2017.7897254
dc.description.abstract 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%. en
dc.description.sponsorship EMB;IEEE;IEEE Communications Society (IEEE ComSoc)
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_PE
dc.relation info:eu-repo/semantics/article en_PE
dc.relation.isPartOf IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
dc.rights info:eu-repo/semantics/embargoedAccess en_PE
dc.source Repositorio Institucional - UCH en_PE
dc.source Universidad de Ciencias y Humanidades en_PE
dc.subject Efficiency en_PE
dc.subject Detectability en
dc.subject High-efficiency en
dc.subject Kidney disease en
dc.subject Negatively charged en
dc.subject Type-2 diabetes en
dc.subject Proteins en
dc.title Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulus en_PE
dc.type info:eu-repo/semantics/conferenceObject en_PE
dc.identifier.doi 10.1109/BHI.2017.7897254 en_PE
dc.identifier.journal IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017 en_PE
dc.identifier.scopus 2-s2.0-85018379563


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