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Mathematical and computational studi...

Dey, Charlie.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical and computational studies on progress, prognosis, prevention and panacea of breast cancerby Suhrit Dey, Charlie Dey.
作者:	Dey, Suhrit.
其他作者:	Dey, Charlie.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	1 online resource (xxxvii, 351 p.) :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	BreastCancer
電子資源:	https://doi.org/10.1007/978-981-16-6077-1
ISBN:	9789811660771$q(electronic bk.)

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$q(electronic bk.)

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

913364
Breast
--Cancer

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

Dewey Class. No.: 616.99449

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