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The Resource Introduction to Mathematical Oncology, Kuang, Yang, (electronic resource)

Introduction to Mathematical Oncology, Kuang, Yang, (electronic resource)

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Author
Contributor
Summary
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts. Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology
Language
eng
Work
Instance
Label
Introduction to Mathematical Oncology
Title
Introduction to Mathematical Oncology
Statement of responsibility
Kuang, Yang
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts. Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology
Cataloging source
AU@
http://library.link/vocab/creatorName
Kuang, Yang
Index
no index present
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Nagy, John
  • Eikenberry, Steffen
  • Safari, an O'Reilly Media Company
http://library.link/vocab/subjectName
  • Mathematics
  • Science
  • Mathematics
  • Science
Label
Introduction to Mathematical Oncology, Kuang, Yang, (electronic resource)
Link
https://sfpl.org/sites/default/files/uploads/images/covers/oreilly_logo.jpg
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition.
Extent
1 online resource (470 pages)
Form of item
online
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
O'Reilly
Other control number
  • CE990X
  • 9781498785532
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1153395272
Label
Introduction to Mathematical Oncology, Kuang, Yang, (electronic resource)
Link
https://sfpl.org/sites/default/files/uploads/images/covers/oreilly_logo.jpg
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition.
Extent
1 online resource (470 pages)
Form of item
online
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
O'Reilly
Other control number
  • CE990X
  • 9781498785532
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1153395272

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