Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Cancer

Suhrit Dey, Charlie Dey

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

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.

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Schlagwörter

simulation and modeling, mathematical modeling, transient mappings, nutrition therapy, bioinformatics, charlie–simpson algorithm, computational biology, gene therapy, markov chain, reaction–diffusion partial differential equations, dynamic simulation, cancer research