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Mathematical and computational studi...

Dey, Charlie.

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Mathematical and computational studies on progress, prognosis, prevention and panacea of breast cancer

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical and computational studies on progress, prognosis, prevention and panacea of breast cancer/ by Suhrit Dey, Charlie Dey.
Author:	Dey, Suhrit.
other author:	Dey, Charlie.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	1 online resource (xxxvii, 351 p.) :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Statistics: The Backgrounds & The Basis -- Attacker & Defender Model: The Dynamics of the Immune System -- Mathematical Modeling of Metastatic Cancer -- Mathematical/Computational Modeling of Advanced Immunotherapy -- Mathematical Modeling & Computational Studies On The War Against Breast Cancer -- Gene Therapy -- The Smartest Fighters -- Nutritional Therapy -- The Fateful Code & The Future Course -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Breast - Cancer -
Online resource:	https://doi.org/10.1007/978-981-16-6077-1
ISBN:	9789811660771

Mathematical and computational studies on progress, prognosis, prevention and panacea of breast cancer
Dey, Suhrit.

Mathematical and computational studies on progress, prognosis, prevention and panacea of breast cancer[electronic resource] /by Suhrit Dey, Charlie Dey. - Singapore :Springer Singapore :2021. - 1 online resource (xxxvii, 351 p.) :ill. (some col.), digital ;24 cm. - Forum for interdisciplinary mathematics,2364-6756. - Forum for interdisciplinary mathematics..

Introduction -- Statistics: The Backgrounds & The Basis -- Attacker & Defender Model: The Dynamics of the Immune System -- Mathematical Modeling of Metastatic Cancer -- Mathematical/Computational Modeling of Advanced Immunotherapy -- Mathematical Modeling & Computational Studies On The War Against Breast Cancer -- Gene Therapy -- The Smartest Fighters -- Nutritional Therapy -- The Fateful Code & The Future Course -- Conclusion.

This book's aim is to study the mathematical and computational models to analyze the progress, prognosis, prevention, and panacea of breast cancer. The book discusses application of Markov chains and transient mappings, Charlie-Simpson numerical algorithm, models represented by nonlinear reaction-diffusion-type partial differential equations, and related techniques. The book also attempts to design mathematical model of targeted strategic treatments by using Skilled Killer Drugs (SKD1 and SKD2) to suggest the improvisation of future cancer treatments. Both graduate students and researchers of computational biology and oncologists will benefit by studying this book. Researchers of cancer studies and biological sciences will also find this work helpful.

ISBN: 9789811660771

Standard No.: 10.1007/978-981-16-6077-1doiSubjects--Topical Terms:

3538783
Breast
--Cancer

LC Class. No.: RC280.B8 / D49 2021

Dewey Class. No.: 616.99449

Mathematical and computational studies on progress, prognosis, prevention and panacea of breast cancer
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300 $a 1 online resource (xxxvii, 351 p.) : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Forum for interdisciplinary mathematics, $x 2364-6756
505 0 $a Introduction -- Statistics: The Backgrounds & The Basis -- Attacker & Defender Model: The Dynamics of the Immune System -- Mathematical Modeling of Metastatic Cancer -- Mathematical/Computational Modeling of Advanced Immunotherapy -- Mathematical Modeling & Computational Studies On The War Against Breast Cancer -- Gene Therapy -- The Smartest Fighters -- Nutritional Therapy -- The Fateful Code & The Future Course -- Conclusion.
520 $a This book's aim is to study the mathematical and computational models to analyze the progress, prognosis, prevention, and panacea of breast cancer. The book discusses application of Markov chains and transient mappings, Charlie-Simpson numerical algorithm, models represented by nonlinear reaction-diffusion-type partial differential equations, and related techniques. The book also attempts to design mathematical model of targeted strategic treatments by using Skilled Killer Drugs (SKD1 and SKD2) to suggest the improvisation of future cancer treatments. Both graduate students and researchers of computational biology and oncologists will benefit by studying this book. Researchers of cancer studies and biological sciences will also find this work helpful.
650 0 $a Breast $x Cancer $x Mathematical models. $3 3538783
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650 1 4 $a Computational Science and Engineering. $3 893018
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
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650 2 4 $a Medical Genetics. $3 3531302
650 2 4 $a Computer Science. $3 626642
700 1 $a Dey, Charlie. $3 3538782
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