語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
System Engineering Approach to Plann...
~
Świerniak, Andrzej.
System Engineering Approach to Planning Anticancer Therapies
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
System Engineering Approach to Planning Anticancer Therapies/ by Andrzej Świerniak, Marek Kimmel, Jaroslaw Smieja, Krzysztof Puszynski, Krzysztof Psiuk-Maksymowicz.
作者:
Świerniak, Andrzej.
其他作者:
Kimmel, Marek.
面頁冊數:
IX, 235 p. 55 illus., 17 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Biomathematics. -
電子資源:
https://doi.org/10.1007/978-3-319-28095-0
ISBN:
9783319280950
System Engineering Approach to Planning Anticancer Therapies
Świerniak, Andrzej.
System Engineering Approach to Planning Anticancer Therapies
[electronic resource] /by Andrzej Świerniak, Marek Kimmel, Jaroslaw Smieja, Krzysztof Puszynski, Krzysztof Psiuk-Maksymowicz. - 1st ed. 2016. - IX, 235 p. 55 illus., 17 illus. in color.online resource.
Introduction -- Cell Cycle as an Object of Control -- Therapy Optimization in Population Dynamics Models -- Structured Models and Their Use in Modeling Anticancer Therapies -- Signaling Pathways Dynamics and Cancer Treatment -- Model Identification and Parameter Estimation -- Appendixes: Stability and Controllability of Dynamical Systems -- Pontryagin Maximum Principle and Optimal Control -- Bifurcation Analysis -- Numerical Implementation of the Runge Kutta and Gillespie Methods.
This book focuses on the analysis of cancer dynamics and the mathematically based synthesis of anticancer therapy. It summarizes the current state-of-the-art in this field and clarifies common misconceptions about mathematical modeling in cancer. Additionally, it encourages closer cooperation between engineers, physicians and mathematicians by showing the clear benefits of this without stating unrealistic goals. Development of therapy protocols is realized from an engineering point of view, such as the search for a solution to a specific control-optimization problem. Since in the case of cancer patients, consecutive measurements providing information about the current state of the disease are not available, the control laws are derived for an open loop structure. Different forms of therapy are incorporated into the models, from chemotherapy and antiangiogenic therapy to immunotherapy and gene therapy, but the class of models introduced is broad enough to incorporate other forms of therapy as well. The book begins with an analysis of cell cycle control, moving on to control effects on cell population and structured models and finally the signaling pathways involved in carcinogenesis and their influence on therapy outcome. It also discusses the incorporation of intracellular processes using signaling pathway models, since the successful treatment of cancer based on analysis of intracellular processes, might soon be a reality. It brings together various aspects of modeling anticancer therapies, which until now have been distributed over a wide range of literature. Written for researchers and graduate students interested in the use of mathematical and engineering tools in biomedicine with special emphasis on applications in cancer diagnosis and treatment, this self-contained book can be easily understood with only a minimal basic knowledge of control and system engineering methods as well as the biology of cancer. Its interdisciplinary character and the authors’ extensive experience in cooperating with clinicians and biologists make it interesting reading for researchers from control and system engineering looking for applications of their knowledge. Systems and molecular biologists as well as clinicians will also find new inspiration for their research.
ISBN: 9783319280950
Standard No.: 10.1007/978-3-319-28095-0doiSubjects--Topical Terms:
527725
Biomathematics.
LC Class. No.: QH323.5
Dewey Class. No.: 570.285
System Engineering Approach to Planning Anticancer Therapies
LDR
:04260nam a22004095i 4500
001
979314
003
DE-He213
005
20200703053534.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783319280950
$9
978-3-319-28095-0
024
7
$a
10.1007/978-3-319-28095-0
$2
doi
035
$a
978-3-319-28095-0
050
4
$a
QH323.5
050
4
$a
QH324.2-324.25
072
7
$a
PDE
$2
bicssc
072
7
$a
MAT003000
$2
bisacsh
072
7
$a
PDE
$2
thema
082
0 4
$a
570.285
$2
23
100
1
$a
Świerniak, Andrzej.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1272423
245
1 0
$a
System Engineering Approach to Planning Anticancer Therapies
$h
[electronic resource] /
$c
by Andrzej Świerniak, Marek Kimmel, Jaroslaw Smieja, Krzysztof Puszynski, Krzysztof Psiuk-Maksymowicz.
250
$a
1st ed. 2016.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
IX, 235 p. 55 illus., 17 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Introduction -- Cell Cycle as an Object of Control -- Therapy Optimization in Population Dynamics Models -- Structured Models and Their Use in Modeling Anticancer Therapies -- Signaling Pathways Dynamics and Cancer Treatment -- Model Identification and Parameter Estimation -- Appendixes: Stability and Controllability of Dynamical Systems -- Pontryagin Maximum Principle and Optimal Control -- Bifurcation Analysis -- Numerical Implementation of the Runge Kutta and Gillespie Methods.
520
$a
This book focuses on the analysis of cancer dynamics and the mathematically based synthesis of anticancer therapy. It summarizes the current state-of-the-art in this field and clarifies common misconceptions about mathematical modeling in cancer. Additionally, it encourages closer cooperation between engineers, physicians and mathematicians by showing the clear benefits of this without stating unrealistic goals. Development of therapy protocols is realized from an engineering point of view, such as the search for a solution to a specific control-optimization problem. Since in the case of cancer patients, consecutive measurements providing information about the current state of the disease are not available, the control laws are derived for an open loop structure. Different forms of therapy are incorporated into the models, from chemotherapy and antiangiogenic therapy to immunotherapy and gene therapy, but the class of models introduced is broad enough to incorporate other forms of therapy as well. The book begins with an analysis of cell cycle control, moving on to control effects on cell population and structured models and finally the signaling pathways involved in carcinogenesis and their influence on therapy outcome. It also discusses the incorporation of intracellular processes using signaling pathway models, since the successful treatment of cancer based on analysis of intracellular processes, might soon be a reality. It brings together various aspects of modeling anticancer therapies, which until now have been distributed over a wide range of literature. Written for researchers and graduate students interested in the use of mathematical and engineering tools in biomedicine with special emphasis on applications in cancer diagnosis and treatment, this self-contained book can be easily understood with only a minimal basic knowledge of control and system engineering methods as well as the biology of cancer. Its interdisciplinary character and the authors’ extensive experience in cooperating with clinicians and biologists make it interesting reading for researchers from control and system engineering looking for applications of their knowledge. Systems and molecular biologists as well as clinicians will also find new inspiration for their research.
650
0
$a
Biomathematics.
$3
527725
650
0
$a
System theory.
$3
566168
650
0
$a
Cancer research.
$3
1253664
650
0
$a
Cell cycle.
$3
787710
650
0
$a
Drug resistance.
$3
872072
650
1 4
$a
Mathematical and Computational Biology.
$3
786706
650
2 4
$a
Systems Theory, Control.
$3
669337
650
2 4
$a
Cancer Research.
$3
668358
650
2 4
$a
Cell Cycle Analysis.
$3
883879
650
2 4
$a
Drug Resistance.
$3
782695
700
1
$a
Kimmel, Marek.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1066684
700
1
$a
Smieja, Jaroslaw.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1272424
700
1
$a
Puszynski, Krzysztof.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1272425
700
1
$a
Psiuk-Maksymowicz, Krzysztof.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1272426
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319280936
776
0 8
$i
Printed edition:
$z
9783319280943
776
0 8
$i
Printed edition:
$z
9783319802701
856
4 0
$u
https://doi.org/10.1007/978-3-319-28095-0
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入