Using ANN and MPC to optimize acoustically assisted Doxorubicin release from micelles

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

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

Abstract

We have been developing a drug delivery system that uses Pluronic P105 micelles to sequester a chemotherapeutic drug - namely, Doxorubicin (Dox) - until it reaches the cancer site. Ultrasound is then applied to release the drug directly to the tumor and in the process minimize the adverse side effects of chemotherapy on non-tumor tissues. Here, we present an artificial neural network (ANN) model that attempts to model the dynamic release of Dox from P105 micelles under different ultrasonic power intensities at two frequencies. The developed ANN model is then utilized to optimize the ultrasound application to achieve a target drug release at the tumor site via an ANN-based model predictive control. The parameters of the controller are then tuned to achieve good reference signal tracking. We were successful in designing and testing a controller capable of adjusting the ultrasound frequency, intensity, and pulse length to sustain constant Dox release.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Modelling and Simulation
Pages320-325
Number of pages6
Publication statusPublished - 2009
Event20th IASTED International Conference on Modelling and Simulation, MS 2009 - Banff, AB, Canada
Duration: Jul 6 2009Jul 8 2009

Other

Other20th IASTED International Conference on Modelling and Simulation, MS 2009
CountryCanada
CityBanff, AB
Period7/6/097/8/09

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Keywords

  • Artificial neural network
  • Continuous and pulsed ultrasound
  • Doxorubicin
  • Drug release
  • Model predictive control
  • Polymeric micelles

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Modelling and Simulation

Cite this

Husseini, G. A., Mjalli, F. S., Pitt, W. G., & Abdel-Jabbar, N. M. (2009). Using ANN and MPC to optimize acoustically assisted Doxorubicin release from micelles. In Proceedings of the IASTED International Conference on Modelling and Simulation (pp. 320-325)