Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes
This paper researches a suitable mathematical model that can reliably predict the release of a model drug (namely calcein) from biologically targeted liposomal nanocarriers triggered by ultrasound. Using mathematical models, curve fitting is performed on a set of five experimental acoustic drug rele...
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2019
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| Online Access: | http://hdl.handle.net/11073/21323 |
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| _version_ | 1864513438336679936 |
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| author | Wadi, Ali |
| author2 | Abdel-Hafez, Mamoun Husseini, Ghaleb Paul, Vinod |
| author2_role | author author author |
| author_facet | Wadi, Ali Abdel-Hafez, Mamoun Husseini, Ghaleb Paul, Vinod |
| author_role | author |
| dc.creator.none.fl_str_mv | Wadi, Ali Abdel-Hafez, Mamoun Husseini, Ghaleb Paul, Vinod |
| dc.date.none.fl_str_mv | 2019 2021-02-04T04:46:31Z 2021-02-04T04:46:31Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | A. Wadi, M. Abdel-Hafez, G. A. Husseini and V. Paul, "Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes," in IEEE Transactions on NanoBioscience, vol. 19, no. 1, pp. 68-77, Jan. 2020, doi: 10.1109/TNB.2019.2950344. 1558-2639 http://hdl.handle.net/11073/21323 10.1109/tnb.2019.2950344 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://doi.org/10.1109/tnb.2019.2950344 |
| dc.subject.none.fl_str_mv | Drugs Mathematical model Fluorescence Acoustics Cancer Acoustic measurements |
| dc.title.none.fl_str_mv | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | This paper researches a suitable mathematical model that can reliably predict the release of a model drug (namely calcein) from biologically targeted liposomal nanocarriers triggered by ultrasound. Using mathematical models, curve fitting is performed on a set of five experimental acoustic drug release runs from Albumin-, Estrone-, and RGD-based Drug Delivery Systems (DDS). The three moieties were chosen to target specific cancers using receptor-mediated endocytosis. The best-fitting mathematical model is then enhanced using a Kalman filtering (KF) algorithm to account for the statistics of the dynamic and measurements noise sequences in predicted drug release. Unbiased drug-release estimates are realized by implementing an online noise identification algorithm. The algorithm is first deployed in a simulated environment in which it was rigorously tested and compared with the correct solution. Then, the algorithm was used to process the five experimental datasets. The results suggest that the Adaptive Kalman Filter (AKF) is exceptionally good at handling drug release estimation problems with a priori unknown or with changing noise covariances. In comparison with the KF, the AKF approach exhibited as low as a 69% reduction in the level of error in estimating the drug release state. Finally, the proposed algorithm is not computationally demanding and is capable of online estimation tasks. |
| format | article |
| id | aus_87731464a8010f4249a42a0759e6d8b9 |
| identifier_str_mv | A. Wadi, M. Abdel-Hafez, G. A. Husseini and V. Paul, "Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes," in IEEE Transactions on NanoBioscience, vol. 19, no. 1, pp. 68-77, Jan. 2020, doi: 10.1109/TNB.2019.2950344. 1558-2639 10.1109/tnb.2019.2950344 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/21323 |
| publishDate | 2019 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From LiposomesWadi, AliAbdel-Hafez, MamounHusseini, GhalebPaul, VinodDrugsMathematical modelFluorescenceAcousticsCancerAcoustic measurementsThis paper researches a suitable mathematical model that can reliably predict the release of a model drug (namely calcein) from biologically targeted liposomal nanocarriers triggered by ultrasound. Using mathematical models, curve fitting is performed on a set of five experimental acoustic drug release runs from Albumin-, Estrone-, and RGD-based Drug Delivery Systems (DDS). The three moieties were chosen to target specific cancers using receptor-mediated endocytosis. The best-fitting mathematical model is then enhanced using a Kalman filtering (KF) algorithm to account for the statistics of the dynamic and measurements noise sequences in predicted drug release. Unbiased drug-release estimates are realized by implementing an online noise identification algorithm. The algorithm is first deployed in a simulated environment in which it was rigorously tested and compared with the correct solution. Then, the algorithm was used to process the five experimental datasets. The results suggest that the Adaptive Kalman Filter (AKF) is exceptionally good at handling drug release estimation problems with a priori unknown or with changing noise covariances. In comparison with the KF, the AKF approach exhibited as low as a 69% reduction in the level of error in estimating the drug release state. Finally, the proposed algorithm is not computationally demanding and is capable of online estimation tasks.IEEE2021-02-04T04:46:31Z2021-02-04T04:46:31Z2019Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfA. Wadi, M. Abdel-Hafez, G. A. Husseini and V. Paul, "Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes," in IEEE Transactions on NanoBioscience, vol. 19, no. 1, pp. 68-77, Jan. 2020, doi: 10.1109/TNB.2019.2950344.1558-2639http://hdl.handle.net/11073/2132310.1109/tnb.2019.2950344en_UShttps://doi.org/10.1109/tnb.2019.2950344oai:repository.aus.edu:11073/213232024-08-22T12:09:21Z |
| spellingShingle | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes Wadi, Ali Drugs Mathematical model Fluorescence Acoustics Cancer Acoustic measurements |
| status_str | publishedVersion |
| title | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes |
| title_full | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes |
| title_fullStr | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes |
| title_full_unstemmed | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes |
| title_short | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes |
| title_sort | Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes |
| topic | Drugs Mathematical model Fluorescence Acoustics Cancer Acoustic measurements |
| url | http://hdl.handle.net/11073/21323 |