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Titlebook: Optimal Impulsive Control for Cancer Therapy; Jo?o P. Belfo,Jo?o M. Lemos Book 2021 The Author(s), under exclusive license to Springer Nat

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發(fā)表于 2025-3-21 19:18:56 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Optimal Impulsive Control for Cancer Therapy
編輯Jo?o P. Belfo,Jo?o M. Lemos
視頻videohttp://file.papertrans.cn/703/702884/702884.mp4
概述Enables cancer therapeutic design to minimize tumor size and reduce treatment toxicity.Promotes understanding with simulation and illustrations.Develops an innovative approach to therapy modelling bas
叢書名稱SpringerBriefs in Electrical and Computer Engineering
圖書封面Titlebook: Optimal Impulsive Control for Cancer Therapy;  Jo?o P. Belfo,Jo?o M. Lemos Book 2021 The Author(s), under exclusive license to Springer Nat
描述.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..
出版日期Book 2021
關(guān)鍵詞Optimal Impulsive Control; Pharmacodynamical Models; Tumor Growth Models; Nonlinear Optimization; Recedi
版次1
doihttps://doi.org/10.1007/978-3-030-50488-5
isbn_softcover978-3-030-50487-8
isbn_ebook978-3-030-50488-5Series ISSN 2191-8112 Series E-ISSN 2191-8120
issn_series 2191-8112
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2021
The information of publication is updating

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Introduction,rol sub-problems that are treated in detail in Chap.?.. The model structure used, that comprises pharmacokinetics, pharmacodynamics, and tumor dynamics, is described. Relevant background literature is described.
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Complementary Aspects,This chapter discusses a number of issues that complement the design of the optimized impulsive therapy presented, namely the sensitivity of the control action with respect to parameter uncertainty and quantization, the use of the Gompertz growth model instead of the logistic model, and model discretization with a pseudospectral method.
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978-3-030-50487-8The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
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Optimal Impulsive Control for Cancer Therapy978-3-030-50488-5Series ISSN 2191-8112 Series E-ISSN 2191-8120
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Pharmacokinetic and Pharmacodynamical Models,, including their advantages and disadvantages. Compartmental models are described, including a discussion on their properties: positivity, mass conservation and stability. For PD models, such as for the PK models, empirical models and mechanistic models are referred as well. The mechanistic model d
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Tumor Growth Models,of the logistic model and the generalized logistic model. A study of the immune system (IS) and the angiogenesis process is also presented, since both subsystems can influence tumor growth. The IS is responsible for the human organism’s defense against infections and diseases and may help to suppres
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