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Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings
The Internet of Bio-NanoThings (IoBNTs) is a novel paradigm that derives from synthetic biology and advances in nanotechnology for controlling the embedded nanodevices in various medical applications. However, numerous studies have focused on communication efficiency among the nanodevices in a given...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061466/ https://www.ncbi.nlm.nih.gov/pubmed/33907662 http://dx.doi.org/10.1007/s13369-021-05651-2 |
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author | El-Fatyany, Aya Wang, Hongzhi Abd El-atty, Saied M. |
author_facet | El-Fatyany, Aya Wang, Hongzhi Abd El-atty, Saied M. |
author_sort | El-Fatyany, Aya |
collection | PubMed |
description | The Internet of Bio-NanoThings (IoBNTs) is a novel paradigm that derives from synthetic biology and advances in nanotechnology for controlling the embedded nanodevices in various medical applications. However, numerous studies have focused on communication efficiency among the nanodevices in a given network, the challenges such as the design and the development of the nanodevices, and the coordination of molecular communication within the wireless body area network (BAN), and the interface connection between the BAN and the Internet are yet to be addressed. Therefore, in this study, we present a framework analysis comprising of the compartmental model, for studying the effects and variances in drug concentration that occur inside intra-body nanonetworks through IoBNT, while taking into account the properties of target cells as well as the ligand-receptor binding mechanism. A performance analysis of the proposed framework for the forward link (i.e., from the Internet to the intra-body nanonetwork) and reverse link (i.e., from the intra-body nanonetwork to the Internet) is presented. The simulation results of the developed framework reveal its ability to enhance the delivery of therapeutic drugs to the target cell while minimizing the side effects in healthy cells. |
format | Online Article Text |
id | pubmed-8061466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80614662021-04-23 Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings El-Fatyany, Aya Wang, Hongzhi Abd El-atty, Saied M. Arab J Sci Eng Research Article-Electrical Engineering The Internet of Bio-NanoThings (IoBNTs) is a novel paradigm that derives from synthetic biology and advances in nanotechnology for controlling the embedded nanodevices in various medical applications. However, numerous studies have focused on communication efficiency among the nanodevices in a given network, the challenges such as the design and the development of the nanodevices, and the coordination of molecular communication within the wireless body area network (BAN), and the interface connection between the BAN and the Internet are yet to be addressed. Therefore, in this study, we present a framework analysis comprising of the compartmental model, for studying the effects and variances in drug concentration that occur inside intra-body nanonetworks through IoBNT, while taking into account the properties of target cells as well as the ligand-receptor binding mechanism. A performance analysis of the proposed framework for the forward link (i.e., from the Internet to the intra-body nanonetwork) and reverse link (i.e., from the intra-body nanonetwork to the Internet) is presented. The simulation results of the developed framework reveal its ability to enhance the delivery of therapeutic drugs to the target cell while minimizing the side effects in healthy cells. Springer Berlin Heidelberg 2021-04-22 2021 /pmc/articles/PMC8061466/ /pubmed/33907662 http://dx.doi.org/10.1007/s13369-021-05651-2 Text en © King Fahd University of Petroleum & Minerals 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article-Electrical Engineering El-Fatyany, Aya Wang, Hongzhi Abd El-atty, Saied M. Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings |
title | Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings |
title_full | Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings |
title_fullStr | Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings |
title_full_unstemmed | Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings |
title_short | Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings |
title_sort | efficient framework analysis for targeted drug delivery based on internet of bio-nanothings |
topic | Research Article-Electrical Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061466/ https://www.ncbi.nlm.nih.gov/pubmed/33907662 http://dx.doi.org/10.1007/s13369-021-05651-2 |
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