Molecular communication model of nanoparticle-body interactions in Particulate Drug Delivery Systems

Youssef Chahibi, Massimiliano Pierobon, Sang Ok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Existing work in pharmacokinetics, the study of the movement of drugs in the body, has largely focused on multicompartmental models, based on ordinary first-order equations with constant flow. Nano-scale Particulate Drug Delivery Systems (PDDS) require better computational models. PDDS has been previously abstracted by the same authors as Molecular Communication (MC) systems, by solving the advection-diffusion problem with time-varying flow. In this paper, this framework is extended to solve the nanoparticle-body interactions problem. The delay and path loss of the system are expressed analytically. The results are validated by finite-element simulations. This model will enable more thorough pharmacokinetics than multicompartmental models.

Original languageEnglish (US)
Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages1051-1055
Number of pages5
ISBN (Print)9781479923908
DOIs
StatePublished - Jan 1 2013
Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 3 2013Nov 6 2013

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2013 47th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/3/1311/6/13

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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    Chahibi, Y., Pierobon, M., & Song, S. O. (2013). Molecular communication model of nanoparticle-body interactions in Particulate Drug Delivery Systems. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers (pp. 1051-1055). [6810452] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810452