Optimizing the use of ultrasound to deliver chemotherapeutic agents to cancer cells from polymeric micelles

Ghaleb A. Husseini; Nabil M. Abdel-Jabbar; Farouq S. Mjalli; William G. Pitt; Ala'A Al-Mousa

doi:10.1016/j.jfranklin.2010.02.004

Optimizing the use of ultrasound to deliver chemotherapeutic agents to cancer cells from polymeric micelles

Ghaleb A. Husseini^*, Nabil M. Abdel-Jabbar, Farouq S. Mjalli, William G. Pitt, Ala'A Al-Mousa

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

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 language	English
Pages (from-to)	1276-1284
Number of pages	9
Journal	Journal of the Franklin Institute
Volume	348
Issue number	7
DOIs	https://doi.org/10.1016/j.jfranklin.2010.02.004
Publication status	Published - 2011
Externally published	Yes

Keywords

Doxorubicin
Drug release
NN-MPC
P105 micelles
Ultrasound stimulation

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications
Applied Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jfranklin.2010.02.004

Cite this

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title = "Optimizing the use of ultrasound to deliver chemotherapeutic agents to cancer cells from polymeric micelles",

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.",

keywords = "Doxorubicin, Drug release, NN-MPC, P105 micelles, Ultrasound stimulation",

author = "Husseini, {Ghaleb A.} and Abdel-Jabbar, {Nabil M.} and Mjalli, {Farouq S.} and Pitt, {William G.} and Ala'A Al-Mousa",

year = "2011",

doi = "10.1016/j.jfranklin.2010.02.004",

language = "English",

volume = "348",

pages = "1276--1284",

journal = "Journal of the Franklin Institute",

issn = "0016-0032",

publisher = "Elsevier Limited",

number = "7",

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TY - JOUR

T1 - Optimizing the use of ultrasound to deliver chemotherapeutic agents to cancer cells from polymeric micelles

AU - Husseini, Ghaleb A.

AU - Abdel-Jabbar, Nabil M.

AU - Mjalli, Farouq S.

AU - Pitt, William G.

AU - Al-Mousa, Ala'A

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Doxorubicin

KW - Drug release

KW - NN-MPC

KW - P105 micelles

KW - Ultrasound stimulation

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DO - 10.1016/j.jfranklin.2010.02.004

M3 - Article

AN - SCOPUS:79961028596

SN - 0016-0032

VL - 348

SP - 1276

EP - 1284

JO - Journal of the Franklin Institute

JF - Journal of the Franklin Institute

IS - 7

ER -

Optimizing the use of ultrasound to deliver chemotherapeutic agents to cancer cells from polymeric micelles

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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