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Optimal impulsive control for cancer...

Belfo, Joao P.

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Optimal impulsive control for cancer therapy

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimal impulsive control for cancer therapy/ by Joao P. Belfo, Joao M. Lemos.
Author:	Belfo, Joao P.
other author:	Lemos, Joao M.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	ix, 102 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction -- Chapter 2. Pharmacokinetic and Pharmacodynamical Models -- Chapter 3. Tumor Growth Models -- Chapter 4. Optimal Impulsive Control -- Chapter 5. Cancer Therapy Optimization -- Chapter 6. Complementary Aspects -- Chapter 7. Conclusions and Research Topics.
Contained By:	Springer eBooks
Subject:	Cancer - Treatment -
Online resource:	https://doi.org/10.1007/978-3-030-50488-5
ISBN:	9783030504885

Optimal impulsive control for cancer therapy
Belfo, Joao P.

Optimal impulsive control for cancer therapy[electronic resource] /by Joao P. Belfo, Joao M. Lemos. - Cham :Springer International Publishing :2021. - ix, 102 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering. - SpringerBriefs in electrical and computer engineering..

Chapter 1. Introduction -- Chapter 2. Pharmacokinetic and Pharmacodynamical Models -- Chapter 3. Tumor Growth Models -- Chapter 4. Optimal Impulsive Control -- Chapter 5. Cancer Therapy Optimization -- Chapter 6. Complementary Aspects -- Chapter 7. Conclusions and Research Topics.

This Springer brief discusses the use of control engineering methods to plan a cancer therapy which tends to reduce tumour size in patients, striking a balance that minimizes the toxic effects of the treatment. The authors address the design and computation of impulsive control therapies, a methodology previously underexplored in the application of control methods to medical modelling. This allows simulation of such discrete events as taking a pill rather than relying on the supply of therapy being continuous and steady. The book begins with an introduction to the topic, before moving onto pharmacokinetic, pharmacodynamical and tumour-growth models and explaining how they describe the relationship between a certain therapy plan and the evolution of cancer. This is placed firmly in the context of work introducing impulsive differential equations. The final chapter summarizes the research presented and suggests future areas of research to encourage readers in taking the subject forward. This book is of interest to biomedical engineers, researchers and students, particularly those with a background in systems and control engineering.

ISBN: 9783030504885

Standard No.: 10.1007/978-3-030-50488-5doiSubjects--Topical Terms:

3486180
Cancer
--Treatment

LC Class. No.: RC270.8 / .B45 2021

Dewey Class. No.: 616.994

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100 1 $a Belfo, Joao P. $3 3486179
245 1 0 $a Optimal impulsive control for cancer therapy $h [electronic resource] / $c by Joao P. Belfo, Joao M. Lemos.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a ix, 102 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering
505 0 $a Chapter 1. Introduction -- Chapter 2. Pharmacokinetic and Pharmacodynamical Models -- Chapter 3. Tumor Growth Models -- Chapter 4. Optimal Impulsive Control -- Chapter 5. Cancer Therapy Optimization -- Chapter 6. Complementary Aspects -- Chapter 7. Conclusions and Research Topics.
520 $a This Springer brief discusses the use of control engineering methods to plan a cancer therapy which tends to reduce tumour size in patients, striking a balance that minimizes the toxic effects of the treatment. The authors address the design and computation of impulsive control therapies, a methodology previously underexplored in the application of control methods to medical modelling. This allows simulation of such discrete events as taking a pill rather than relying on the supply of therapy being continuous and steady. The book begins with an introduction to the topic, before moving onto pharmacokinetic, pharmacodynamical and tumour-growth models and explaining how they describe the relationship between a certain therapy plan and the evolution of cancer. This is placed firmly in the context of work introducing impulsive differential equations. The final chapter summarizes the research presented and suggests future areas of research to encourage readers in taking the subject forward. This book is of interest to biomedical engineers, researchers and students, particularly those with a background in systems and control engineering.
650 0 $a Cancer $x Treatment $x Computer simulation. $3 3486180
650 0 $a Cancer $x Treatment $x Technological innovations. $3 3307943
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Cancer Research. $3 891172
650 2 4 $a Optimization. $3 891104
700 1 $a Lemos, Joao M. $3 2071804
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a SpringerBriefs in electrical and computer engineering. $3 1565565
856 4 0 $u https://doi.org/10.1007/978-3-030-50488-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)