Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Cancer
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Beschreibung
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.
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.
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 discussion of the research
Autor*in
Suhrit Dey
Themen in »Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Cancer«
cancer research computational biology mathematical modeling gene therapy markov chain transient mappings charlie–simpson algorithm reaction–diffusion partial differential equations dynamic simulation simulation and modeling bioinformatics nutrition therapy