Using artificial neural network to model acoustic release of doxorubicin from unstabilized Pluronic P105 micelles

Ghaleb Husseini, Nabil M. Abdel-Jabbar, Farouq S. Mjalli, William G. Pitt

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

1 Citation (Scopus)

Abstract

Acoustically activated drug release from unstabilized Pluronic P105 micelles was modeled using an Artificial Neural Network Model. Sensitivity analysis revealed that optimal conditions are achieved at low frequency and high power densities.

Original languageEnglish
Title of host publicationProceedings of the 9th IASTED International Conference on Control and Applications, CA 2007
Pages385-386
Number of pages2
Publication statusPublished - 2007
Event9th IASTED International Conference on Control and Applications, CA 2007 - Montreal, QC, Canada
Duration: May 30 2007Jun 1 2007

Other

Other9th IASTED International Conference on Control and Applications, CA 2007
CountryCanada
CityMontreal, QC
Period5/30/076/1/07

Keywords

  • Micelles
  • Neural network modeling
  • Non-linear modeling
  • Polymeric carriers
  • Ultrasound

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Husseini, G., Abdel-Jabbar, N. M., Mjalli, F. S., & Pitt, W. G. (2007). Using artificial neural network to model acoustic release of doxorubicin from unstabilized Pluronic P105 micelles. In Proceedings of the 9th IASTED International Conference on Control and Applications, CA 2007 (pp. 385-386)