On optimal and suboptimal treatment strategies for a mathematical model of leukemia

In this work an optimization problem for a leukemia treatment modelbased on the Gompertzian law of cell growth is considered. The quantitiesof the leukemic and of the healthy cells at the end of the therapy are chosenas the criterion of the treatment quality. In the case where the number ofhealthy c...

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Main Authors: Elena Fimmel, Yury S. Semenov, Alexander S. Bratus
Format: Article
Language:English
Published: AIMS Press 2012-11-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.151
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author Elena Fimmel
Yury S. Semenov
Alexander S. Bratus
author_facet Elena Fimmel
Yury S. Semenov
Alexander S. Bratus
author_sort Elena Fimmel
collection DOAJ
description In this work an optimization problem for a leukemia treatment modelbased on the Gompertzian law of cell growth is considered. The quantitiesof the leukemic and of the healthy cells at the end of the therapy are chosenas the criterion of the treatment quality. In the case where the number ofhealthy cells at the end of the therapy is higher than a chosen desired number,an analytical solution of the optimization problem for a wide class of therapyprocesses is given. If this is not the case, a control strategy called alternative issuggested.
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spelling doaj-art-0f965c2564864f8dbce8e7d27779c0a72025-01-24T02:25:25ZengAIMS PressMathematical Biosciences and Engineering1551-00182012-11-0110115116510.3934/mbe.2013.10.151On optimal and suboptimal treatment strategies for a mathematical model of leukemiaElena Fimmel0Yury S. Semenov1Alexander S. Bratus2Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 MannheimMannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 MannheimMannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 MannheimIn this work an optimization problem for a leukemia treatment modelbased on the Gompertzian law of cell growth is considered. The quantitiesof the leukemic and of the healthy cells at the end of the therapy are chosenas the criterion of the treatment quality. In the case where the number ofhealthy cells at the end of the therapy is higher than a chosen desired number,an analytical solution of the optimization problem for a wide class of therapyprocesses is given. If this is not the case, a control strategy called alternative issuggested.https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.151cancer model.optimal therapy controlchemotherapy
spellingShingle Elena Fimmel
Yury S. Semenov
Alexander S. Bratus
On optimal and suboptimal treatment strategies for a mathematical model of leukemia
Mathematical Biosciences and Engineering
cancer model.
optimal therapy control
chemotherapy
title On optimal and suboptimal treatment strategies for a mathematical model of leukemia
title_full On optimal and suboptimal treatment strategies for a mathematical model of leukemia
title_fullStr On optimal and suboptimal treatment strategies for a mathematical model of leukemia
title_full_unstemmed On optimal and suboptimal treatment strategies for a mathematical model of leukemia
title_short On optimal and suboptimal treatment strategies for a mathematical model of leukemia
title_sort on optimal and suboptimal treatment strategies for a mathematical model of leukemia
topic cancer model.
optimal therapy control
chemotherapy
url https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.151
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