#MathOnco Issue 71: evolutionary games; tumor growth models; prostate cancer therapy scheduling; environmental feedbacks in evolutionary dynamics
This week in
Math Oncology
June 20, 2019 ~ Issue 71
From the editor
#MathOnco friends,
Today's issue contains two of my personal favorite topics: evolutionary games and tumor growth models (Gompertz, in particular!). Scroll down to see more articles on prostate cancer therapy scheduling, environmental feedbacks in evolutionary dynamics, and various other in silico approaches.
-Jeffrey West
#MathOnco Publications
In silico simulation of a clinical trial with anti-CTLA-4 and anti-PD-L1 immunotherapies in metastatic breast cancer using a systems pharmacology model
Authors: Hanwen Wang , Oleg Milberg , Imke H. Bartelink , Paolo Vicini , Bing Wang , Rajesh Narwal , Lorin Roskos , Cesar A. Santa-Maria and Aleksander S. Popel
The role of interventions in the cancer evolution–an evolutionary games approach
Authors: A. Swierniak, M. Krzeslak, D. Borys, M. Kimmel
Practically scheduling hormone therapy for prostate cancer using a mathematical model
Authors: Ayako Nakanishi, Yoshito Hirata
#MathOnco Preprints
Evolutionary dynamics of competing phenotype-structured populations in periodically fluctuating environments
Authors: Aleksandra Ardaševa, Robert A. Gatenby, Alexander R. A. Anderson, Helen M. Byrne, Philip K. Maini, Tommaso Lorenzi
Molecular Profiles of Matched Primary and Metastatic Tumor Samples Support an Evolutionary Model of Breast Cancer
Authors: Runpu Chen, Steve Goodison, Yijun Sun
A reduced Gompertz model for predicting tumor age using a population approach
Authors: Cristina Vaghi, Anne Rodallec, Raphaelle Fanciullino, Joseph Ciccolini, Jonathan Mochel, Michalis Mastri, Clair Poignard, John ML Ebos, Sébastien Benzekry
Evolutionary games with environmental feedbacks
Authors: Andrew R Tilman, Joshua Plotkin, Erol Akcay
Wanted: More Data, the Dirtier the Better
Esther Landhuis: "The computational immunologist Purvesh Khatri embraces messy data as a way to capture the messiness of disease. As a result, he’s making elusive genomic discoveries."
#MathOnco - Book of the month
Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again
Eric Topol: "Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help."
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