Mathematical Oncology 2013
With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion–consumption, structured populations, and applications of optimal control theory, this volume presents the most significant recent results in the field of mathematical oncology. It highlights the work o...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Birkhäuser
2014, 2014
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| Edition: | 1st ed. 2014 |
| Series: | Modeling and Simulation in Science, Engineering and Technology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I: Cancer Onset and Early Growth
- Modeling spatial effects in carcinogenesis: stochastic and deterministic reaction-diffusion
- Conservation law in cancer modeling
- Avascular tumor growth modeling: physical insight in skin cancer
- Part II: Tumor and Inter-Cellular Interactions
- A cell population model structured by cell age incorporating cell-cell adhesion
- A general framework for multiscale modeling of tumor–immune system interactions
- The power of the tumor microenvironment: a systemic approach for a systemic disease
- Part III: Anti-Tumor Therapies
- Modeling immune-mediated tumor growth and treatment
- Hybrid multiscale approach in cancer modelling and treatment prediction
- Deterministic mathematical modelling for cancer chronotherapeutics: cell population dynamics and treatment optimization
- Tumor Microenvironment and Anticancer Therapies: An Optimal Control Approach