This Week in #MathOnco
This week in
Mathematical Oncology
January 10, 2018 ~ Issue 4
From the editor
Today's issue includes a study in complex adaptive systems, an optimal dosing schedule model in glioblastoma, and a model of chemo-induced drug-resistant traits. As always, welcome to our new subscribers! I've included past issues below for convenience.
In case you missed it:
-Jeffrey West
#MathOnco Publications
Mathematical modeling identifies optimum lapatinib dosing schedules for the treatment of glioblastoma patients
Authors: Shayna Stein, Rui Zhao, ..., Franziska Michor
When relaxation meets adaptation in complex adaptive systems: a computational study of tumorigenesis
Authors: Yuting Lou, Qi Sheng, Yu Chen
Modeling the chemotherapy-induced selection of drug-resistant traits during tumor growth
Authors: H. Cho, D. Levy
#MathOnco Preprints
Dynamics of motile populations in heterogeneous environments
Authors: Youness Azimzade
A new look at multi-stage models of cancer incidence
Authors: Tyler Lian, Rick Durrett
Open source tools and standardized data in cancer systems biology
Authors: Paul Macklin, Samuel H. Friedman
Modelling signalling networks from perturbation data
Authors: Mathurin Dorel, Bertram Klinger, ..., Nils Bluthgen
#MathOnco blogs
How to cure cancer (and how not to do it)
Sui Huang writes an informative piece (full of vivid metaphors) on the nonlinear nature of cancer treatment. Touching on topics such a immunotherapy, wholistic ecosystem dynamics, the role of inflammation and debris from dead cells, and the variation needed in clinical trials, you'll realize the untapped potential of math in oncology.
#MathOnco Books
When Breath Becomes Air
We sometimes find ourselves hiding in the comfort and safety of the details of math models, neglecting to meditate on the real-world implications of the math. This book is for us.
"At the age of thirty-six, on the verge of completing a decade’s worth of training as a neurosurgeon, Paul Kalanithi was diagnosed with stage IV lung cancer. One day he was a doctor treating the dying, and the next he was a patient struggling to live."
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