東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Mathematical oncology

Chaplain, M. A. J.

Linked to FindBook

Google Book

Amazon

博客來

Mathematical oncology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical oncology/ by Mark A. J. Chaplain, Luigi Preziosi.
Author:	Chaplain, M. A. J.
other author:	Preziosi, Luigi.
Published:	New York, NY :Springer New York : : 2025.,
Description:	xxii, 857 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Preface -- Biology/Pathology of Cancer -- Modeling the Immune Response to Cancer -- Simple Models of Tumor Growth -- Modeling Avascular, Multicellular Spheroid Growth -- Pre-pattern Models of Tumor Growth -- Modeling Tumor-induced Angiogenesis -- Modeling Invasion and Metastasis -- Mechanical Models of Growth -- Index.
Contained By:	Springer Nature eBook
Subject:	Oncology - Mathematics. -
Online resource:	https://doi.org/10.1007/978-0-387-68564-9
ISBN:	9780387685649

Mathematical oncology
Chaplain, M. A. J.

Mathematical oncology[electronic resource] /by Mark A. J. Chaplain, Luigi Preziosi. - New York, NY :Springer New York :2025. - xxii, 857 p. :ill. (chiefly col.), digital ;24 cm. - Interdisciplinary applied mathematics,v. 622196-9973 ;. - Interdisciplinary applied mathematics ;v. 62..

Preface -- Biology/Pathology of Cancer -- Modeling the Immune Response to Cancer -- Simple Models of Tumor Growth -- Modeling Avascular, Multicellular Spheroid Growth -- Pre-pattern Models of Tumor Growth -- Modeling Tumor-induced Angiogenesis -- Modeling Invasion and Metastasis -- Mechanical Models of Growth -- Index.

Cancer is a complex and devastating disease, responsible for millions of deaths worldwide each year. While traditional oncology focuses on diagnosis and treatment through medical, surgical, radiation and clinical techniques, mathematical oncology has emerged as a powerful discipline that applies mathematical modelling to understand cancer growth, spread, and response to treatment. This volume provides a comprehensive exploration of mathematical approaches in oncology, offering a deep dive into differential equation models and biomechanical models. From reaction-diffusion equations that capture tumour growth and spread, to mechanical models that examine cellular interactions within tissues and vessels, this book presents both analytical techniques and computational modelling approaches that enhance our understanding of cancer dynamics. This book serves as both a reference for researchers and a foundation for integrating mathematical oncology into university curricula. By bridging the gap between mathematics, biology, and clinical research, it highlights the crucial role of mathematical modelling in advancing cancer treatment strategies and improving patient outcomes.

ISBN: 9780387685649

Standard No.: 10.1007/978-0-387-68564-9doiSubjects--Topical Terms:

3804983
Oncology
--Mathematics.

LC Class. No.: RC254.5

Dewey Class. No.: 616.99400151

Mathematical oncology
LDR:02598nmm a2200349 a 4500 001 2422851
003 DE-He213
005 20260102120454.0
006 m d
007 cr nn 008maaau
008 260505s2025 nyu s 0 eng d
020 $a 9780387685649 $q (electronic bk.)
020 $a 9780387403243 $q (paper)
024 7 $a 10.1007/978-0-387-68564-9 $2 doi
035 $a 978-0-387-68564-9
040 $a GP $c GP
041 0 $a eng
050 4 $a RC254.5
072 7 $a PBW $2 bicssc
072 7 $a PSA $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PSAX $2 thema
082 0 4 $a 616.99400151 $2 23
090 $a RC254.5 $b .C464 2025
100 1 $a Chaplain, M. A. J. $3 3606363
245 1 0 $a Mathematical oncology $h [electronic resource] / $c by Mark A. J. Chaplain, Luigi Preziosi.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2025.
300 $a xxii, 857 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Interdisciplinary applied mathematics, $x 2196-9973 ; $v v. 62
505 0 $a Preface -- Biology/Pathology of Cancer -- Modeling the Immune Response to Cancer -- Simple Models of Tumor Growth -- Modeling Avascular, Multicellular Spheroid Growth -- Pre-pattern Models of Tumor Growth -- Modeling Tumor-induced Angiogenesis -- Modeling Invasion and Metastasis -- Mechanical Models of Growth -- Index.
520 $a Cancer is a complex and devastating disease, responsible for millions of deaths worldwide each year. While traditional oncology focuses on diagnosis and treatment through medical, surgical, radiation and clinical techniques, mathematical oncology has emerged as a powerful discipline that applies mathematical modelling to understand cancer growth, spread, and response to treatment. This volume provides a comprehensive exploration of mathematical approaches in oncology, offering a deep dive into differential equation models and biomechanical models. From reaction-diffusion equations that capture tumour growth and spread, to mechanical models that examine cellular interactions within tissues and vessels, this book presents both analytical techniques and computational modelling approaches that enhance our understanding of cancer dynamics. This book serves as both a reference for researchers and a foundation for integrating mathematical oncology into university curricula. By bridging the gap between mathematics, biology, and clinical research, it highlights the crucial role of mathematical modelling in advancing cancer treatment strategies and improving patient outcomes.
650 0 $a Oncology $x Mathematics. $3 3804983
650 1 4 $a Mathematical and Computational Biology. $3 1566274
650 2 4 $a Immunology. $3 611031
650 2 4 $a Internal Medicine. $3 858559
650 2 4 $a Animal Physiology. $3 894174
700 1 $a Preziosi, Luigi. $3 730287
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Interdisciplinary applied mathematics ; $v v. 62. $3 3804982
856 4 0 $u https://doi.org/10.1007/978-0-387-68564-9
950 $a Mathematics and Statistics (SpringerNature-11649)