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Titlebook: Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Canc; Suhrit Dey,Charlie Dey Book 2021 Spr

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發(fā)表于 2025-3-21 16:31:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Canc
編輯Suhrit Dey,Charlie Dey
視頻videohttp://file.papertrans.cn/627/626690/626690.mp4
概述Designs mathematical model of treatments by using Skilled Killer Drugs (SKD1 and SKD2).Suggests the improvisation of future cancer treatments.Provides graphical representation of results for discussio
叢書名稱Forum for Interdisciplinary Mathematics
圖書封面Titlebook: Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Canc;  Suhrit Dey,Charlie Dey Book 2021 Spr
描述.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..
出版日期Book 2021
關鍵詞cancer research; computational biology; mathematical modeling; gene therapy; markov chain; transient mapp
版次1
doihttps://doi.org/10.1007/978-981-16-6077-1
isbn_softcover978-981-16-6079-5
isbn_ebook978-981-16-6077-1Series ISSN 2364-6748 Series E-ISSN 2364-6756
issn_series 2364-6748
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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Modeling Strategies to Win the War Against Breast Cancer,This is the central part of the monograph. Mathematically, we have tried to model the present treatment methodologies for various forms of breast cancer. Here we got excellent qualitative agreements with existing data. Data were analyzed and presented in tabular forms, in graphs, and through computer simulations.
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Gene Therapy,In this chapter, mathematical modeling on gene therapy has been discussed. Our emphasis is how poisonous proteins released by mRNAs due to mutations in genes could be corrected.
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