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Introduction to Mathematical Oncology

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  • 472 pages
  • 17 hours of reading

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Focusing on the intersection of biology and mathematics, this book provides well-structured models to enhance understanding of cancer biology and improve treatment strategies. It offers comprehensive coverage of the medical and biological foundations of cancer, alongside practical modeling issues. Designed for both undergraduate and graduate courses, it aims to equip readers with the tools necessary for analyzing cancer dynamics and developing effective therapeutic approaches.

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Introduction to Mathematical Oncology, Yang Kuang, John D Nagy, Steffen E Eikenberry

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Released
2021
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