Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles

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 effec...

Full description

Saved in:
Bibliographic Details
Main Author: Husseini, Ghaleb (author)
Other Authors: Mjalli, Farouq Sabri (author), Pitt, William G. (author), Abdel-Jabbar, Nabil (author)
Format: article
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/11073/21343
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864513437549199360
author Husseini, Ghaleb
author2 Mjalli, Farouq Sabri
Pitt, William G.
Abdel-Jabbar, Nabil
author2_role author
author
author
author_facet Husseini, Ghaleb
Mjalli, Farouq Sabri
Pitt, William G.
Abdel-Jabbar, Nabil
author_role author
dc.creator.none.fl_str_mv Husseini, Ghaleb
Mjalli, Farouq Sabri
Pitt, William G.
Abdel-Jabbar, Nabil
dc.date.none.fl_str_mv 2009
2021-03-07T06:16:30Z
2021-03-07T06:16:30Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Husseini GA, Mjalli FS, Pitt WG, Abdel-Jabbar NM. Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles. Technology in Cancer Research & Treatment. December 2009:479-488. doi:10.1177/153303460900800609
1533-0346
http://hdl.handle.net/11073/21343
10.1177/153303460900800609
dc.language.none.fl_str_mv en_US
dc.publisher.none.fl_str_mv SAGE Publications
dc.relation.none.fl_str_mv https://doi.org/10.1177/153303460900800609
dc.subject.none.fl_str_mv Artificial Neural Network
Model Predictive Control
Doxorubicin
Polymeric Micelles
Drug Release
Continuous and Pulsed Ultrasound
dc.title.none.fl_str_mv Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles
dc.type.none.fl_str_mv Peer-Reviewed
Published version
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description 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.
format article
id aus_be67b689da1dde2804771f7a3e21528e
identifier_str_mv Husseini GA, Mjalli FS, Pitt WG, Abdel-Jabbar NM. Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles. Technology in Cancer Research & Treatment. December 2009:479-488. doi:10.1177/153303460900800609
1533-0346
10.1177/153303460900800609
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/21343
publishDate 2009
publisher.none.fl_str_mv SAGE Publications
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric MicellesHusseini, GhalebMjalli, Farouq SabriPitt, William G.Abdel-Jabbar, NabilArtificial Neural NetworkModel Predictive ControlDoxorubicinPolymeric MicellesDrug ReleaseContinuous and Pulsed UltrasoundWe 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.SAGE Publications2021-03-07T06:16:30Z2021-03-07T06:16:30Z2009Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfHusseini GA, Mjalli FS, Pitt WG, Abdel-Jabbar NM. Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles. Technology in Cancer Research & Treatment. December 2009:479-488. doi:10.1177/1533034609008006091533-0346http://hdl.handle.net/11073/2134310.1177/153303460900800609en_UShttps://doi.org/10.1177/153303460900800609oai:repository.aus.edu:11073/213432024-08-22T12:05:35Z
spellingShingle Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles
Husseini, Ghaleb
Artificial Neural Network
Model Predictive Control
Doxorubicin
Polymeric Micelles
Drug Release
Continuous and Pulsed Ultrasound
status_str publishedVersion
title Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles
title_full Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles
title_fullStr Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles
title_full_unstemmed Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles
title_short Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles
title_sort Using Artificial Neural Networks and Model Predictive Control to Optimize Acoustically Assisted Doxorubicin Release from Polymeric Micelles
topic Artificial Neural Network
Model Predictive Control
Doxorubicin
Polymeric Micelles
Drug Release
Continuous and Pulsed Ultrasound
url http://hdl.handle.net/11073/21343