An Introduction to Physical Oncology An Introduction to Physical Oncology
Chapman & Hall/CRC Mathematical and Computational Biology

An Introduction to Physical Oncology

How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes

Vittorio Cristini and Others
    • $97.99
    • $97.99

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2017
26 June
LANGUAGE
EN
English
LENGTH
204
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
4.7
MB
New Targeting in The Reversal of Resistant Glioblastomas New Targeting in The Reversal of Resistant Glioblastomas
2021
Anticancer Therapeutics Anticancer Therapeutics
2017
Drug Repurposing in Cancer Therapy Drug Repurposing in Cancer Therapy
2020
Novel Therapies in Head and Neck Cancer: Beyond the Horizon Novel Therapies in Head and Neck Cancer: Beyond the Horizon
2020
Foundations of Colorectal Cancer Foundations of Colorectal Cancer
2021
Tumor Microenvironment Tumor Microenvironment
2011
Big Data in Omics and Imaging Big Data in Omics and Imaging
2017
Computational Exome and Genome Analysis Computational Exome and Genome Analysis
2017
Introduction to Proteins Introduction to Proteins
2018
Mathematical Models of Plant-Herbivore Interactions Mathematical Models of Plant-Herbivore Interactions
2017
Python for Bioinformatics Python for Bioinformatics
2017
Statistical Modeling and Machine Learning for Molecular Biology Statistical Modeling and Machine Learning for Molecular Biology
2017