#MathOnco Issue 104: population models; AI; multi-region sequencing; undergraduate MathOnco; twitter & academics
This week in
Math Oncology
Feb. 27, 2020 ~ Issue 104
From the editor
Hello!
Welcome to another edition of 'this week in math oncology.' Today's issue includes population models, AI, multi-region sequencing, undergraduate math onco, and two interesting blog posts: on twitter, and on games. Scroll down for a new postdoc position position with Marc Ryser on "Computational Approaches to Breast Cancer Evolution."
Enjoy!
-Jeffrey West
#MathOnco Publications
Tumour heterogeneity and the evolutionary trade-offs of cancer
Authors: Jean Hausser, Uri Alon
Mathematics + Cancer: An Undergraduate "Bridge" Course in Applied Mathematics
Authors: Tracy L. Stepien, Eric J. Kostelich, Yang Kuang
Phenotype-based probabilistic analysis of heterogeneous responses to cancer drugs and their combination efficacy
Authors: Natacha Comandante-Lou, Mehwish Khaliq, Divya Venkat, Mohan Manikkam, Mohammad Fallahi-Sichani
A Computational Model of Tumor Growth and Anakoinosis
Authors: Pan Pantziarka, Lina Ghibelli, Albrecht Reichle
Artificial intelligence and cancer
Authors: Olga Troyanskaya, Zlatko Trajanoski, Anne Carpenter, Sebastian Thrun, Narges Razavian, Nuria Oliver
Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors
Authors: Cristina Vaghi, Anne Rodallec, Raphaëlle Fanciullino, Joseph Ciccolini, Jonathan P. Mochel, Michalis Mastri, Clair Poignard, John M. L. Ebos, Sébastien Benzekry
Measuring single cell divisions in human tissues from multi-region sequencing data
Authors: Benjamin Werner, Jack Case, Marc J. Williams, Ketevan Chkhaidze, ..., Ian P. M. Tomlinson, Chris P. Barnes, Trevor A. Graham, Andrea Sottoriva
#MathOnco Preprints
TraCurate: efficiently curating cell tracks
Authors: S. Wagner, K. Thierbach, T. Zerjatke, I. Glauche, I. Roeder, N. Scherf
The evolutionary games played by cancer
Artem Kaznatcheev: "Ecology & evolution are key for understanding how cancer progresses within the body. Mathematical oncologists represent these key factors as evolutionary games. But these games have been based primarily on our intuitions. We set out to directly measure the games played by non-small cell lung cancer."
Alex Danco: "Building a brand is how you escape the positional scarcity of the Elastic Middle, and get hired for real. So how do you do that? Well, you want to establish a few things: that you do good science, that you’re smart, that you have a point of view and a vision for the field, and that people should read your work and listen to you. Of course, everyone knows at some basic level that what journal published you doesn’t really determine the quality of your research, or your potential as a scientist. But we accept it as proxy. Science is tricky and opaque. As much as we try our best to identify undiscovered research and scientists, at the end of the day we mostly fall back on the journal brand names, and the labs who can get into them, as yardsticks for quality."
#MathOnco - Book of the month
Antifragile: Things That Gain from Disorder
Nassim Nicholas Taleb: "Just as human bones get stronger when subjected to stress and tension, and rumors or riots intensify when someone tries to repress them, many things in life benefit from stress, disorder, volatility, and turmoil. What Taleb has identified and calls “antifragile” is that category of things that not only gain from chaos but need it in order to survive and flourish. The antifragile is beyond the resilient or robust. The resilient resists shocks and stays the same; the antifragile gets better and better. Furthermore, the antifragile is immune to prediction errors and protected from adverse events."
Most clicked links of December
Tumor diversity and the trade-off between universal cancer tasks
Opportunities for improving cancer treatment using systems biology
Inferring growth and genetic evolution of tumors from genome sequences
Jobs
NEW: Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)
Postdoctoral Fellow in Mathematical Oncology (Russell Rockne)
Pre-leukemic Dynamics – MSc or PhD Studentship (Morgan Craig)
Quantitative Systems Pharmacology (QSP) Modeler - Cell Therapy (Dean Bottino)
Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
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