#MathOnco Issue 136: adaptive therapy, cancer metastasis, antiangiogenic treatment, boolean models, stochastic diff equations
This week in
Math Oncology
Oct. 22, 2020 ~ Issue 136
From the editor
Dear readers,
Today's issue contains articles on the topics of adaptive therapy, cancer metastasis, antiangiogenic treatment, boolean models, stochastic differential equations, and more.
Enjoy,
-Jeffrey West
#MathOnco Publications
Special Collection on Ecological and Evolutionary Approaches to Cancer Control: Cancer Finds a Conceptual Home
Authors: Christopher J. Whelan, Robert A. Gatenby
An Integrative Gene Expression and Mathematical Flux Balance Analysis Identifies Targetable Redox Vulnerabilities in Melanoma Cells
Authors: B. Bishal Paudel, Joshua E. Lewis, Keisha N. Hardeman, Corey E. Hayford, Charles J. Robbins, Philip E. Stauffer, Simona G. Codreanu, Stacy D. Sherrod, John A. McLean, Melissa L. Kemp, Vito Quaranta
Cancer metastasis and the immune system response: modeling the micro-environment by Ising hamiltonian
Authors: R. Arroyo Duarte, D. I. Flores Silva, M. Alvarado
Numerical optimisation of chemotherapy dosage under antiangiogenic treatment in the presence of drug resistance
Authors: Piotr Bajger, Mariusz Bodzioch, Urszula Foryś
#MathOnco Preprints
Chemotherapy response prediction with diffuser elapser network
Authors: Batuhan Koyuncu, Ahmet Melek, Defne Yilmaz, Mert Tuzer, Mehmet Burcin Unlu
Identifiability analysis for stochastic differential equation models in systems biology
Authors: Alexander P Browning, David James Warne, Kevin Burrage, Ruth E Baker, Matthew J Simpson
A Boolean Model of the Formation of Tumour Associated Macrophages in an in-vitro Model of Chronic Lymphocytic Leukaemia
Authors: Malvina Marku, Flavien Raynal, Nina Verstraete, Marcin Domagala, Miguel Madrid-Mencia, Mary Poupot, Jean-Jacques Fournié, Loïc Ysebaert, Vera Pancaldi
Understanding the potential benefits of adaptive therapy for metastatic melanoma
Authors: Eunjung Kim, Joel S. Brown, Zeynep Eroglu, Alexander R.A. Anderson
A Physicist’s Approach to Biology Brings Ecological Insights
Quanta Magazine
Gabriel Popkin: "The frustration for theoretical ecologists is that, with thousands of disparate ecosystems around the globe, ecological theories can be hard to universally falsify. Allesina jokes that physics textbooks stay at about the same length over time because experiments and observations falsify old theories at the same time that they catalyze new ones. But ecology texts grow ever longer, because older theories stick around even as new ones pile up. It’s unclear whether unifying principles that underpin ecology — the equivalent of thermodynamics and statistical mechanics in physics — are unknown because no one has yet uncovered them or because such principles simply don’t exist."
#MathOnco Virtual Seminars
Moffitt's Integrated Mathematical Oncology Dept. Series
Mathematical Oncology Series
Dr. Hermann Frieboes
"Modulation of Immune Response to Cancer via Nanotherapy: An Integrated Experimental/Mathematical Modeling Perspective"
Dec 10, 2020 12:00pm US Eastern
#MathOnco - Featured Book
Rebel Cell: Cancer, Evolution, and the New Science of Life's Oldest Betrayal
Kat Arney: "Cancer exists in nearly every animal and has afflicted humans as long as our species has walked the earth. In Rebel Cell: Cancer, Evolution, and the New Science of Life's Oldest Betrayal, Kat Arney reveals the secrets of our most formidable medical enemy, most notably the fact that it isn’t so much a foreign invader as a double agent: cancer is hardwired into the fundamental processes of life. New evidence shows that this disease is the result of the same evolutionary changes that allowed us to thrive. Evolution helped us outsmart our environment, and it helps cancer outsmart its environment as well—alas, that environment is us."
Special Issues
"Mathematical Models of Cellular Immunotherapies in Cancer"
Guest Editors: V. Pérez-García, L. de Pillis, P. Altrock, R. RockneLatest Developments in Mathematical Oncology and Cancer Systems Biology
Guest Editors: M. Kumar Jolly, H. EnderlingFrom Ecology to Cancer Biology and Back Again
Guest Editors: Fred Adler, Sarah Amend, Chris WhelanFrontiers in quantitative cancer modeling
Guest Editors: Mohit Kumar Jolly, Heiko Enderling
Jobs
Research Fellow in Systems Biology Cancer Research (Simon Mitchell)
Principal Scientist – Oncology PK/PD Modelling (Boehringer Ingelheim)
Postdoctoral Research Position in Computational Immunology (Sylvain Cussat-Blanc)
Postdoc Position - TKI treatments in lung cancer (David Basanta)
Systems Biology Modeler Positions in Biopharma Consulting Company (Helen Moore)
Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)
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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