Keywords
NN-MPC, Doxorubicin, P105 micelles, Drug release, Ultrasound stimulation
Abstract
In this study, we present an artificial neural network (ANN) model that attempts to predict the dynamic release of doxorubicin (Dox) from P105 micelles under different ultrasonic power densities at 20 kHz. The goal is to utilize the developed ANN model in optimizing the ultrasound application to achieve a target drug release at the tumor site by controlling power density and ultrasound duration via an ANN-based model predictive control. The parameters of the controller are then tuned to achieve good reference signal tracking.
Original Publication Citation
Husseini*, G.A., Abdel-Jabbar, N.M., Mjalli, F.S., and Pitt, W.G., “Modeling and Sensitivity Analysis of Acoustic Release of Doxorubicin from Unstabilized Pluronic P105 Using an Artificial Neural Network Model”, Technol. Cancer Res. Treatment, 6(1), 1-8 (2007) [ISSN 1533-0346].
BYU ScholarsArchive Citation
Husseini, Ghaleb A.; Abdel-Jabbar, Nabil M.; Mjalli, Farouq S.; Pitt, William G.; and Al-Mousa, Ala'a, "Optimizing the Use of Ultrasound to Deliver Chemotherapeutic Agents to Cancer Cells from Polymeric Micelles" (2011). Faculty Publications. 7669.
https://scholarsarchive.byu.edu/facpub/7669
Document Type
Peer-Reviewed Article
Publication Date
2011-9
Publisher
Elsevier
Language
English
College
Ira A. Fulton College of Engineering
Department
Chemical Engineering
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