#MathOnco Issue 113: evolutionary steering, optimizing adaptive therapy, machine learning predictive treatments, Allee effects
This week in
Math Oncology
Apr. 30, 2020 ~ Issue 113
From the editor
Dear Readers,
There are so many exciting things to check out in this issue: evolutionary steering, optimizing adaptive therapy, machine learning predictive treatments, and Allee effects in population dynamics.
I'll also draw your attention to the free textbooks released by Springer Link last week (I was eager to browse the collection and downloaded a few - you never know when they may come in handy). Scroll down for more info on that.
Happy Thursday,
-Jeffrey West
#MathOnco Publications
Executable cancer models: successes and challenges (Perspectives)
Authors: Matthew A. Clarke, Jasmin Fisher
Guidelines and definitions for research on epithelial–mesenchymal transition (Consensus Statement)
Authors: Jing Yang, Parker Antin, Geert Berx, Cédric Blanpain, ..., Elizabeth D. Williams, Jianhua Xing, Binhua P. Zhou, Guojun Sheng
Exploiting evolutionary steering to induce collateral drug sensitivity in cancer
Authors: Ahmet Acar, Daniel Nichol, Javier Fernandez-Mateos, George D. Cresswell, ..., Luca Magnani, Nicola Valeri, Udai Banerji, Andrea Sottoriva
Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory
Authors: Mark Gluzman, Jacob G. Scott, Alexander Vladimirsky
A Perspective on Expanding Our Understanding of Cancer Treatments by Integrating Approaches from the Biological and Physical Sciences
Authors: Emma J. Fong, Carly Strelez, Shannon M. Mumenthaler
Stochastic growth pattern of untreated human glioblastomas predicts the survival time for patients
Authors: Ziwei Ma, Ben Niu, Tuan Anh Phan, Anne Line Stensjøen, Chibawanye Ene, Timothy Woodiwiss, Tonghui Wang, Philip K. Maini, Eric C. Holland, Jianjun Paul Tian
#MathOnco Preprints
Tumor mutation burden signatures and relation to cancer risk in humans: A pan-cancer analysis
Authors: Xin Li, D. Thirumalai
Machine Learning Method Used to find Discrete and Predictive Treatment of Cancer
Authors: SeyedMehdi Abtahi, Mojtaba Sharifi
Population dynamics with threshold effects give rise to a diverse family of Allee effects
Authors: Nabil T. Fadai, Matthew J. Simpson
Game theory suggests more efficient cancer therapy
Cornell University: "Cancer cells not only ravage the body - they also compete with each other. Cornell mathematicians are using game theory to model how this competition could be leveraged, so cancer treatment - which also takes a toll on the patient's body - might be administered more sparingly, with maximized effect."
Free Textbooks during Covid 19
Springer: As a response to Covid-19, Springer Link is offering several hundred books (in PDF format) for FREE. Relevant titles include:
Stability and Control of Linear Systems
Applied Bioinformatics
Neural Networks and Deep Learning
The A-Z of the PhD Trajectory
Data Science and Predictive Analytics
... and more!
#MathOnco - Book of the month
The Book of Why:
The New Science of Cause and Effect
Judea Pearl: "Correlation is not causation. This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality--the study of cause and effect--on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been."
Jobs
Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)
Pre-leukemic Dynamics – MSc or PhD Studentship (Morgan Craig)
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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