dc.creatorNieto-Chaupis, Huber
dc.date.accessioned2022-04-29T17:12:25Z
dc.date.accessioned2023-05-30T23:14:33Z
dc.date.available2022-04-29T17:12:25Z
dc.date.available2023-05-30T23:14:33Z
dc.date.created2022-04-29T17:12:25Z
dc.date.issued2021-10-18
dc.identifierNieto-Chaupis, H. (2021). Proteins-Based Circuits in an Intelligent Internet of Bio-Nano Things Network for Molecular Diagnostic of Renal Damage. In 2021 Third International Conference on Transdisciplinary AI (TransAI) (pp. 68-71). IEEE.
dc.identifier978-1-6654-3412-6
dc.identifierhttps://hdl.handle.net/20.500.13067/1812
dc.identifier2021 Third International Conference on Transdisciplinary AI (TransAI)
dc.identifierhttps://doi.org/10.1109/TransAI51903.2021.00020
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6474160
dc.description.abstractIt is shown that the accumulation of albumin proteins around the locations of podocytes is rather similar to a R-C (Resistance-Capacitor) circuit. While the electric shielding is not enough to detain the pass of albumin, more than a diffusion phenomenon, it is a problem that is entirely treated as one belonging to the classical electrodynamics. In this manner it was identified that the diffusion constant plays a role as the electrical parameters. The permanent aggregation of albumin proteins creates a capacitance. Therefore the expended power by the R-C circuit is interpreted as the loss of energy of renal glomerulus with implications on the performance and homeostasis of kidney. Thus, the identification of electric unbalance is translated as a signal of Kidney disease. The fact of having a physics-based scenario demands us to propose schemes inside the framework of the Internet of Bio-Nano Things.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.publisherPE
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126208917&doi=10.1109%2fTransAI51903.2021.00020&partnerID=40
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceAUTONOMA
dc.source68
dc.source71
dc.subjectProteins
dc.subjectNanoparticles
dc.subjectElectrodynamics
dc.subjectTemperature
dc.subjectBiological system modeling
dc.subjectIons
dc.subjectMathematical models
dc.titleProteins-Based Circuits in an Intelligent Internet of Bio-Nano Things Network for Molecular Diagnostic of Renal Damage
dc.typeinfo:eu-repo/semantics/article


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