#MathOnco Issue 119: allee effects, optimal control theory, genetic composition, mutagenesis, agent-based simulations, and twitter trials.
This week in
Math Oncology
June 18, 2020 ~ Issue 119
From the editor
Dear Readers,
This week's edition includes articles on allee effects, optimal control theory, genetic composition, mutagenesis, agent-based simulations, and yes, a "clinical trial" involving twitter.
While I typically haven't posted links to conferences here, beginning today I am starting a new "virtual seminars" section of the newsletter. Please send me links to any relevant seminars, by replying to this email.
Enjoy,
-Jeffrey West
#MathOnco Publications
Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities
Authors: Angela M. Jarrett, Danial Faghihi, David A. Hormuth II, Ernesto A. B. F. Lima, John Virostko, George Biros, Debra Patt, Thomas E. Yankeelov
Genetic composition of an exponentially growing cell population
Authors: David Cheek, Tibor Antal
The Special Issue on Cancer and Evolution: Lessons Learned
Authors: James DeGregori
Towards integration of 64Cu-DOTA-Trasztusumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2+ breast cancer
Authors: Angela M. Jarrett, David A. Hormuth II, Vikram Adhikarla, Prativa Sahoo, Daniel Abler, Lusine Tumyan, Daniel Schmolze, Joanne Mortimer, Russell C. Rockne, Thomas E. Yankeelov
A Dynamical Paradigm for Molecular Cell Biology
Authors: John J.Tyson, Bela Novak
Mechanistic Models for hematological toxicities: small is beautiful
Authors: Laure Deyme, Sebastien Benzekry, Joseph Ciccolini
Population Dynamics with Threshold Effects Give Rise to a Diverse Family of Allee Effects
Authors: Nabil T. Fadai, Matthew J. Simpson
Does Tweeting Improve Citations? One-Year Results from the TSSMN Prospective Randomized Trial
Authors: Jessica G.Y. Luc, Michael A.Archer, Rakesh C.Arora, Edward M.Bender, ..., Biniam Kidane, Maral Ouzounian, Thomas K. Varghese Jr., Mara B.Antonoff
#MathOnco Preprints
BioDynaMo: an agent-based simulation platform for scalable computational biology research
Authors: Lukas Breitwieser, Ahmad Hesam, Jean de Montigny, Vasileios Vavourakis, ..., Zaid Al-Ars, Fons Rademakers, Onur Mutlu, Roman Bauer
In silico saturation mutagenesis of cancer genes
Authors: Ferran Muiños, Francisco Martinez-Jimenez, Oriol Pich, Abel Gonzalez-Perez, Nuria Lopez-Bigas
Entropy-driven cell-decision making predicts fluid-to-solid transition in multicellular systems
Authors: Arnab Barua, Simon Syga, Pietro Mascheroni, Nikos Kavallaris, Michael Meyer-Hermann, Andreas Deutsch, Haralampos Hatzikirou
Computer algorithms find tumors’ molecular weak spots
Roxanne Khamsi: "Califano’s approach, by contrast, is a twist on that idea. He has focused instead on identifying a few transcription factors that act as bottlenecks (see graphic, below). Target those master regulators, as Califano calls them, and you will stop cancer in its tracks, no matter what mutation initially caused it. Oncologists would still need to analyze each patient’s mutations to figure out which regulators are at play in their particular cancer, but instead of tens of thousands of drugs, Califano says, they may only need dozens. It’s a depersonalized approach to personalized medicine."
Virtual Seminars
1. Global Seminar on Mathematical Modeling and Applications
Ongoing June 17 - July 22.
2. 2020 SIAM Conference on the Life Sciences
Ongoing June 5 - July 2.
3. Virtual Seminar Series on Modeling Biocomplexity:
Cancer Invasion and Progression Series
Ongoing June 10 - July 22
#MathOnco - Book of the month
The Cheating Cell
Athena Aktipis: "When we think of the forces driving cancer, we don’t necessarily think of evolution. But evolution and cancer are closely linked, for the historical processes that created life also created cancer. The Cheating Cell delves into this extraordinary relationship, and shows that by understanding cancer’s evolutionary origins, researchers can come up with more effective, revolutionary treatments."
Jobs
Mathematical modelling of cancer ecology and evolution – PhD Studentships (Rob Noble)
Research Associate, Postdoc, and Research Faculty positions – Mathematical Oncology (Russ Rockne)
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)
Do you see something we missed? Reply to this email to send us an idea for next week's issue.
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