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Information-Theoretic Model and Analysis of Molecular Signaling in Targeted Drug Delivery
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa. Institute of Intelligent Systems, University of Johannesburg, Gauteng 2006, South Africa.
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa.
2020 (English)In: IEEE Transactions on Nanobioscience, ISSN 1536-1241, E-ISSN 1558-2639, Vol. 19, no 2, p. 270-284Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE, 2020. Vol. 19, no 2, p. 270-284
Keywords [en]
Molecular communication, information theory, mutual information, bioequivalence
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-78732DOI: 10.1109/TNB.2020.2968567ISI: 000528540500014PubMedID: 31985433Scopus ID: 2-s2.0-85083417784OAI: oai:DiVA.org:ltu-78732DiVA, id: diva2:1427625
Note

Validerad;2020;Nivå 2;2020-04-30 (alebob)

Available from: 2020-04-30 Created: 2020-04-30 Last updated: 2020-05-14Bibliographically approved

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Vasilakos, A.V.

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