Optimal impulsive control for cancer therapy/ João P. Belfo, João M. Lemos.
2020
RC270.8 .B45 2020eb
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Title
Optimal impulsive control for cancer therapy/ João P. Belfo, João M. Lemos.
Author
Belfo, João P.
ISBN
9783030504885 (electronic bk.)
3030504883 (electronic bk.)
9783030504878
3030504875
3030504883 (electronic bk.)
9783030504878
3030504875
Published
Cham : Springer, 2020.
Copyright
©2020
Language
English
Description
1 online resource (ix, 102 pages)
Call Number
RC270.8 .B45 2020eb
Dewey Decimal Classification
616.9/94
Summary
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.
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Includes bibliographical references.
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Description based on print version record.
Added Author
Lemos, João M.
Series
SpringerBriefs in electrical and computer engineering.
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Optimal Impulsive Control for Cancer Therapy
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Table of Contents
Introduction
Pharmacokinetic and pharmacodynamical models
Tumor growth models
Optimal impulsive control
Cancer therapy optimization
Complementary aspects
Conclusions and research topics.
Pharmacokinetic and pharmacodynamical models
Tumor growth models
Optimal impulsive control
Cancer therapy optimization
Complementary aspects
Conclusions and research topics.