`“This week in Mathematical Oncology” — Dec. 9, 2021`

`>` `mathematical-oncology.org`

`From the editor:`

This week’s edition includes topics such as clinical prediction models, tumor-immune interactions, periodic adaptive cycles, fitness landscapes, and more.

We’ll be taking a bit of a break for the holidays - see you next year!

Jeffrey Westjeffrey.west@moffitt.org

Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
David A. Jenkins, Glen P. Martin, Matthew Sperrin, Richard D. Riley, Thomas P. A. Debray, Gary S. Collins & Niels Peek
Anatomical and Topographical Variations in the Distribution of Brain Metastases Based on Primary Cancer Origin and Molecular Subtypes: A Systematic Review
Tyler Cardinal, Dhiraj Pangal, Ben A Strickland, Paul Newton, …, Arthur W Toga, Josh Neman, Bodour Salhia, Gabriel Zada
A model of tumor-immune system interactions with healthy cells and immunotherapies
Jui-Ling Yu, Hsiu-Chuan Wei, Sophia R-J Jang
Is the Fixed Periodic Treatment Effective for the Tumor System without Complete Information?
Wang J, Zhang Y, Liu X, Liu H

Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin
Emily Y. Yang, Grant R. Howard, Amy Brock, Thomas E. Yankeelov, Guillermo Lorenzo
An integrative framework to design evolution-based cancer therapies
Ghanendra Singh
Fitness landscape adaptation in open replicator systems with competition: application to cancer therapy
Igor Samokhin, Tatiana Yakushkina, Dmitry Markin, Alexander S. Bratus
Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model?
Corentin Martens, Antonin Rovai, Daniele Bonatto, Thierry Metens, Olivier Debeir, Christine Decaestecker, Serge Goldman, Gaetan Van Simaeys
Multidisciplinary analysis of evolution based Abiraterone treatment for metastatic castrate resistant prostate cancer
Jingsong Zhang, Jessica J. Cunningham, Joel S. Brown, Robert A. Gatenby

Cancers are in an evolutionary battle with treatments – evolutionary game theory could tip the advantage to medicine
The Conversation
Anuraag Bukkuri: “I’m a doctoral student at the Moffitt Cancer Center and the University of South Florida who develops and applies mathematical and evolutionary theories to understand how cancer works and how to best treat it. And I believe that approaching cancer treatment through the lens of ecology and evolution may help doctors and researchers grapple with this question and fight more effectively against cancer.”

The newsletter now has a dedicated homepage where we post the cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group.

Caption: Today, we are joining the recent trend of using AI-generated artwork. So many of you took to Twitter this week in response to the challenge: “share AI-generated artwork based upon your thesis title.” Here’s ours, generated via the phrase, “Mathematical Oncology.”

Created by: Wombo AI (app.wombo.art).

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This week in Mathematical Oncology

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