Information-Theoretic Model and Analysis of Molecular Signaling in Targeted Drug Delivery.

Chude-Okonkwo, UAK; Maharaj, BT; Vasilakos, AV; Malekian, R

Information-Theoretic Model and Analysis of Molecular Signaling in Targeted Drug Delivery.

Chude-Okonkwo, UAK Maharaj, BT Vasilakos, AV Malekian, R

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE transactions on nanobioscience, 2020, 19, (2), pp. 270-284
Issue Date:: 2020-04

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Field	Value	Language
dc.contributor.author	Chude-Okonkwo, UAK
dc.contributor.author	Maharaj, BT
dc.contributor.author	Vasilakos, AV
dc.contributor.author	Malekian, R
dc.date.accessioned	2021-02-17T21:08:35Z
dc.date.available	2021-02-17T21:08:35Z
dc.date.issued	2020-04
dc.identifier.citation	IEEE transactions on nanobioscience, 2020, 19, (2), pp. 270-284
dc.identifier.issn	1536-1241
dc.identifier.issn	1558-2639
dc.identifier.uri	http://hdl.handle.net/10453/146186
dc.description.abstract	Targeted drug delivery (TDD) modality promises a smart localization of appropriate dose of therapeutic drugs to the targeted part of the body at reduced system toxicity. To achieve the desired goals of TDD, accurate analysis of the system is important. Recent advances in molecular communication (MC) present prospects to analyzing the TDD process using engineering concepts and tools. Specifically, the MC platform supports the abstraction of TDD process as a communication engineering problem in which the injection and transportation of drug particles in the human body and the delivery to a specific tissue or organ can be analyzed using communication engineering tools. In this paper we stand on the MC platform to present the information-theoretic model and analysis of the TDD systems. We present a modular structure of the TDD system and the probabilistic models of the MC-abstracted modules in an intuitive manner. Simulated results of information-theoretic measures such as the mutual information are employed to analyze the performance of the TDD system. Results indicate that uncertainties in drug injection/release systems, nanoparticles propagation channel and nanoreceiver systems influence the mutual information of the system, which is relative to the system's bioequivalence measure.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE transactions on nanobioscience
dc.relation.isbasedon	10.1109/tnb.2020.2968567
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0903 Biomedical Engineering, 0906 Electrical and Electronic Engineering
dc.subject.classification	Nanoscience & Nanotechnology
dc.title	Information-Theoretic Model and Analysis of Molecular Signaling in Targeted Drug Delivery.
dc.type	Journal Article
utslib.citation.volume	19
utslib.location.activity	United States
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0903 Biomedical Engineering
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-02-17T21:08:23Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	19
utslib.citation.issue	2

Abstract:

Targeted drug delivery (TDD) modality promises a smart localization of appropriate dose of therapeutic drugs to the targeted part of the body at reduced system toxicity. To achieve the desired goals of TDD, accurate analysis of the system is important. Recent advances in molecular communication (MC) present prospects to analyzing the TDD process using engineering concepts and tools. Specifically, the MC platform supports the abstraction of TDD process as a communication engineering problem in which the injection and transportation of drug particles in the human body and the delivery to a specific tissue or organ can be analyzed using communication engineering tools. In this paper we stand on the MC platform to present the information-theoretic model and analysis of the TDD systems. We present a modular structure of the TDD system and the probabilistic models of the MC-abstracted modules in an intuitive manner. Simulated results of information-theoretic measures such as the mutual information are employed to analyze the performance of the TDD system. Results indicate that uncertainties in drug injection/release systems, nanoparticles propagation channel and nanoreceiver systems influence the mutual information of the system, which is relative to the system's bioequivalence measure.

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http://hdl.handle.net/10453/146186