This week in MathOnco 311

Digital twins, parameter identifiability, growth models, tumor heterogeneity.

“This week in Mathematical Oncology” — Oct 24, 2024

> mathematical-oncology.org

From the editor:

This week’s edition features exciting topics like digital twins, parameter identifiability, growth models, tumor heterogeneity.

Be sure to follow along with Thomas Hillen’s Math Onco Interview series, which we have posted in full, here: mathematical-oncology.org/math-onco-interviews.

Thanks,

Jeffrey West
jeffrey.west@moffitt.org

1. Practical parameter identifiability and handling of censored data with Bayesian inference in mathematical tumour models
   Jamie Porthiyas, Daniel Nussey, Catherine A. A. Beauchemin, Donald C. Warren, Christian Quirouette & Kathleen P. Wilkie

2. Digital twins are integral to personalizing medicine and improving public health
   Brian Johnson & Kit Curtius

3. Inferring replication timing and proliferation dynamics from single-cell DNA sequencing data
   Adam C. Weiner, Marc J. Williams, Hongyu Shi, Ignacio Vázquez-García, Sohrab Salehi, Nicole Rusk, Samuel Aparicio, Sohrab P. Shah & Andrew McPherson

4. Tumor evolution reconstruction is heavily influenced by algorithmic and experimental choices
   Rija Zaidi, Simone Zaccaria

5. Harnessing Flex Point Symmetry to Estimate Logistic Tumor Population Growth
   Stefano Pasetto, Isha Harshe, Renee Brady-Nicholls, Robert. A. Gatenby & Heiko Enderling

6. The development of drug resistance in metastatic tumours under chemotherapy: An evolutionary perspective
   F. Padovano, C. Villa

7. A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges
   Felicia Gomez, Arpad M. Danos, Guilherme Del Fiol, Anant Madabhushi, …, Jeremy L. Warner, Fred Prior, Malachi Griffith, Obi L. Griffith

1. Modeling the dynamics of EMT reveals genes associated with pan-cancer intermediate states and plasticity
   MeiLu McDermott, Riddhee Mehta, Evanthia T. Roussos Torres, Adam L. MacLean

2. When is local search both effective and efficient?
   Artem Kaznatcheev, Sofia Vazquez Alferez

3. Intelligence at the Edge of Chaos
   Shiyang Zhang, Aakash Patel, Syed A Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk

4. On the patterns of genetic intra-tumour heterogeneity before and after treatment
   Alexander Stein, Benjamin Werner

1. Kasia Rejniak

   Math Oncology Interviews by Thomas Hillen (YouTube)

2. Support Future Biophysicists in Dr. Kevin Wood's Memory
   ”The family requests that donations be made to a memorial fund in Kevin's name to support educational opportunities for young biophysics students at the University of Michigan (https://gofund.me/b5f1fcb6).”

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. This week’s artwork:

Created during: The Fields Institute Workshop on The Ecology and Evolution of Cancer

Artist: Scott McCain (https://jspmccain.github.io/)

Caption: I was inspired by branching process models of cancer and other evolutionary phenomena. I called it 'Turbulent Branching' to reflect the additional complexities that branching processes might face as populations grow (and interact!) with other lineages (note the edges of the trees become less branching-like!).

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