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Optimizing the use of ultrasound to deliver chemotherapeutic agents to cancer cells from polymeric micelles
Husseini, Ghaleb ; Abdel-Jabbar, Nabil ; Mjalli, Farouq Sabri ; Pitt, William G. ; Al-Mousa, Alaa Marwan Subhi
Husseini, Ghaleb
Abdel-Jabbar, Nabil
Mjalli, Farouq Sabri
Pitt, William G.
Al-Mousa, Alaa Marwan Subhi
Date
2011
Advisor
Type
Peer-Reviewed
Article
Postprint
Article
Postprint
Degree
Citations
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Description
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.
