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An Introduction To Physical Oncology How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes 1st Edition Vittorio Cristini

  • SKU: BELL-6637732
An Introduction To Physical Oncology How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes 1st Edition Vittorio Cristini
$ 31.00 $ 45.00 (-31%)

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An Introduction To Physical Oncology How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes 1st Edition Vittorio Cristini instant download after payment.

Publisher: Chapman and Hall/CRC
File Extension: PDF
File size: 11.25 MB
Pages: 204
Author: Vittorio Cristini, Eugene Koay, Zhihui Wang
ISBN: 9781466551343, 1466551348
Language: English
Year: 2015
Edition: 1

Product desciption

An Introduction To Physical Oncology How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes 1st Edition Vittorio Cristini by Vittorio Cristini, Eugene Koay, Zhihui Wang 9781466551343, 1466551348 instant download after payment.

Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally important role as biological processes in influencing progression and treatment outcome.

This book introduces the emerging field of physical oncology to a general audience, with a focus on recent breakthroughs that help in the design and discovery of more effective cancer treatments. It describes how novel mathematical models of physical transport processes incorporate patient tissue and imaging data routinely produced in the clinic to predict the efficacy of many cancer treatment approaches, including chemotherapy and radiation therapy. By helping to identify which therapies would be most beneficial for an individual patient, and quantifying their effects prior to actual implementation in the clinic, physical oncology allows doctors to design treatment regimens customized to each patient’s clinical needs, significantly altering the current clinical approach to cancer treatment and improving the outcomes for patients.

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