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Efficient Framework Analysis for Targeted Drug Delivery Based on Internet of Bio-NanoThings.
El-Fatyany, Aya; Wang, Hongzhi; Abd El-Atty, Saied M.
Afiliação
  • El-Fatyany A; School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China.
  • Wang H; Department of Mathematics, Faculty of Science, Menoufia University, Shebin El­Kom, Egypt.
  • Abd El-Atty SM; School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China.
Arab J Sci Eng ; 46(10): 9965-9980, 2021.
Article em En | MEDLINE | ID: mdl-33907662
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Arab J Sci Eng Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Arab J Sci Eng Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China