#MathOnco Issue 61: Markov chain models of mets; immune response modeling; multi-scale modeling; dose-response; non-cell autonomous processes
This week in
Mathematical Oncology
April 11, 2019 ~ Issue 61
From the editor
Hello #MathOnco friends,
Today's issue contains Markov chain models of mets, immune response modeling, multi-scale modeling, and a few publications on dose-response curves. I particularly enjoyed the blog post on non-cell autonomous processes below as well.
Please enjoy,
-Jeffrey West
#MathOnco Publications
Prediction of Bone Metastasis in Inflammatory Breast Cancer Using a Markov Chain Model
Authors: Takeo Fujii, Jeremy Mason, Angela Chen, Peter Kuhn, Wendy A. Woodward, Debu Tripathy, Paul K. Newton and Naoto T. Ueno
A nonlinear mathematical model of cell-mediated immune response for tumor phenotypic heterogeneity
Authors: Robinson F. Alvarez, José A.M. Barbuto, Roberto Venegeroles
PhysiBoSS: a multi-scale agent-based modelling framework integrating physical dimension and cell signalling
Authors: Gaelle Letort, Arnau Montagud, Gautier Stoll, Randy Heiland, Emmanuel Barillot, Paul Macklin, Andrei Zinovyev, Laurence Calzone
Mathematical Modeling of The Challenge to Detect Pancreatic Adenocarcinoma Early with Biomarkers
Authors: Alex Root
GRcalculator: an online tool for calculating and mining dose–response data
Authors: Nicholas A. Clark, Marc Hafner, Michal Kouril, Elizabeth H. Williams, Jeremy L. Muhlich, Marcin Pilarczyk, Mario Niepel, Peter K. Sorger, Mario Medvedovic
#MathOnco Preprints
Multi-stage models for the failure of complex systems, cascading disasters, and the onset of disease
Authors: Anthony J Webster
(Anti)Fragility and Convex Responses in Medicine
Authors: Nassim Nicholas Taleb
xml2jupyter: Mapping parameters between XML and Jupyter widgets
Authors: Randy Heiland, Daniel Mishler, Tyler Zhang, Eric Bower, Paul Macklin
A general mathematical framework for understanding the behavior of heterogeneous stem cell regeneration
Authors: Jinzhi Lei
Constant-sum games as a way from non-cell autonomous processes to constant tumour growth rate
Artem Kaznatcheev: "A lot of thinking in cancer biology seems to be focused on cell-autonomous processes. This is the (overly) reductive view that key properties of cells, such as fitness, are intrinsic to the cells themselves and not a function of their interaction with other cells in the tumour. As far as starting points go, this is reasonable. But in many cases, we can start to go beyond this cell-autonomous starting point and consider non-cell-autonomous processes. This is when the key properties of a cell are not a function of just that cell but also its interaction partners. As an evolutionary game theorist, I am clearly partial to this view."
#MathOnco - Book of the month
The Oxford Handbook of Evolutionary Medicine
Martin Brune & Wulf Schiefenhovel: "Many adaptations to past ecologies have turned into risk factors for somatic disease and psychological disorder in our modern worlds (i.e. mismatch), among which epidemics of autoimmune diseases, cardiovascular diseases, diabetes and obesity, as well as several forms of cancer stand out. The Oxford Handbook of Evolutionary Medicine is a compilation of cutting edge insights into the evolutionary history of ourselves as a species, and how and why our evolved design may convey vulnerability to disease. "
Most clicked links of March
The Immune Checkpoint Kick Start: Optimization of Neoadjuvant Combination Therapy Using Game Theory
The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer
PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems
A numerical approach for a discrete Markov model for progressing drug resistance of cancer
Jobs
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