#MathOnco Issue 52: intro to Math Onco; driver mutations; tumor heterogeneity; cellular interactions
This week in
Mathematical Oncology
Jan. 31, 2019 ~ Issue 52
From the editor
Hello #MathOnco friends,
Today I'll direct your attention to the Math Onco "News" section to browse through the slides for an introductory course for Math Oncology by Sebastien Benzekry. Very well done!
In other news, below you will find publications on driver mutations, tumor heterogeneity, and one of my own on cancer cellular interactions.
Please enjoy,
-Jeffrey West
#MathOnco Publications
Wagging the long tail of drivers of prostate cancer
Authors: Vincent L. Cannataro, Jeffrey P. Townsend
On the role of tumor heterogeneity for optimal cancer chemotherapy
Authors: Urszula Ledzewicz, Heinz Schättler, Shuo Wang
Control Structures of Drug Resistance in Cancer Chemotherapy
Authors: James M. Greene, Cynthia Sanchez-Tapia, Eduardo D. Sontag
Cellular interactions constrain tumor growth
Authors: Jeffrey West and Paul K. Newton
#MathOnco Preprints
Evolutionary games with environmental feedbacks
Authors: Andrew R Tilman, Joshua Plotkin, Erol Akcay
Modelling the evolution of viral oncogenesis
Authors: Carmen Lia Murall, Samuel Alizon
Computational design of improved standardized chemotherapy protocols for grade II oligodendrogliomas
Authors: Víctor M. Pérez-García, Luis E. Ayala-Hernández, Juan Belmonte-Beitia, Philippe Schucht, Michael Murek, Andreas Raabe, Juan Sepúlveda
#MathOnco News
Mathematical Oncology Resources
S. Benzekry: material on a graduate course for introduction to mathematical and computational oncology. The slides of the course that cover an introduction to cancer biology and clinical oncology basic concepts and historical use of mathematical methods to: 1) better understand tumor growth and metastatic dynamics laws and 2) better predict tumor growth, metastatic state and the effect of therapeutic interventions.
#MathOnco - Book of the month
Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Examples, and Analysis
Andreas Deutsch & Sabine Dormann:
"This text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice."
Most clicked links of December
Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory
A mathematical framework for modelling the metastatic spread of cancer
Jobs
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