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The book offers a comprehensive exploration of cancer biology through mathematically sound models that enhance understanding and treatment design. It integrates medical and biological contexts with modeling challenges and critiques existing methods. Readers will find an introduction to essential mathematical and programming tools, alongside analytical and numerical studies. Additionally, the authors innovate new mathematical approaches and discuss potential advancements in dynamical modeling, making it a valuable resource for both students and researchers in the field.
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Introduction to Mathematical Oncology, Steffen E Eikenberry, John D Nagy, Yang Kuang
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- Pubblicato
- 2016
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