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1

FUN Research Lab, Inria Lille-Nord Europe, 59650 Villeneuve d’Ascq, France

2

COMLAB Telecommunication Lab, Department of Engineering, Roma TRE University, Via Vito Volterra 62, 00146 Rome, Italy

3

Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica DIMES, University of Calabria, 87036 Rende CS, Italy



This paper is an extended version of our paper published in Proceedings of the 9th International Conference on Body Area Networks BodyNets 2014, London, UK, 29 September–1 October 2014.





*

Author to whom correspondence should be addressed.



Academic Editors: Kazunori Hoshino and Emmanuel Quevy

Abstract In this work, we investigate the interaction of a nanoparticulate system for nanomedicine applications with the biological environment, i.e., the human body. Following the molecular communication paradigm, we assess how our nanoparticulate system model is suitable for coexistence in a biological environment. Specifically, we assume the presence of the human immune system that can affect the optimal behavior of nanoparticles, aiming to locally deliver drug inside the human body. When a flow of nanoparticles is injected into the blood, the interference due to the immune system can provide a strong decrease of the nanoparticle concentration, by means of -humoral immunity-, the phagocytosis process, etc. As a consequence, the correct drug delivery will occur with a lower probability. Since the mechanism behind the biological immune system is very complicated, in this paper, we start from a simplistic nanoparticulate model, where the nanoparticles and the cells of the immune system are subject to the diffusion laws. Finally, we derive the end-to-end physical model of our nanoparticulate nanomedicine system with the presence of the human immune system cells. The error analysis is then investigated in terms of how these errors can affect the performance of the system, i.e., nanoparticle survival probability. View Full-Text

Keywords: nanonetworks; human immune system; fault probability; drug delivery nanonetworks; human immune system; fault probability; drug delivery





Autor: Valeria Loscrí 1,* , Anna Maria Vegni 2 and Giancarlo Fortino 3

Fuente: http://mdpi.com/



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