dc.creator | Nieto-Chaupis, Huber | |
dc.date.accessioned | 2022-04-29T17:12:25Z | |
dc.date.accessioned | 2023-05-30T23:14:33Z | |
dc.date.available | 2022-04-29T17:12:25Z | |
dc.date.available | 2023-05-30T23:14:33Z | |
dc.date.created | 2022-04-29T17:12:25Z | |
dc.date.issued | 2021-10-18 | |
dc.identifier | Nieto-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.identifier | 978-1-6654-3412-6 | |
dc.identifier | https://hdl.handle.net/20.500.13067/1812 | |
dc.identifier | 2021 Third International Conference on Transdisciplinary AI (TransAI) | |
dc.identifier | https://doi.org/10.1109/TransAI51903.2021.00020 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/6474160 | |
dc.description.abstract | It 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.language | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.publisher | PE | |
dc.relation | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126208917&doi=10.1109%2fTransAI51903.2021.00020&partnerID=40 | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.source | AUTONOMA | |
dc.source | 68 | |
dc.source | 71 | |
dc.subject | Proteins | |
dc.subject | Nanoparticles | |
dc.subject | Electrodynamics | |
dc.subject | Temperature | |
dc.subject | Biological system modeling | |
dc.subject | Ions | |
dc.subject | Mathematical models | |
dc.title | Proteins-Based Circuits in an Intelligent Internet of Bio-Nano Things Network for Molecular Diagnostic of Renal Damage | |
dc.type | info:eu-repo/semantics/article | |