This week in MathOnco 339

Mechanistic learning, reinforcement failing, virtual labs, and more...

“This week in Mathematical Oncology” — August 7, 2025

> mathematical-oncology.org

From the editor:

In personal news, it was great fun traveling to an interesting 2-day math bio workshop in Orlando. We saw some familiar math oncology folks there, check it out (Day 1, Day 2)!

Speaking of workshops, you’re going to want to put this one in St Pete Beach on your calendar - abstract submission open now!

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

1. Radiation-Induced Lymphopenia: From Mathematical Modeling Towards Mechanistic Learning
   François de Kermenguy, Daphné Morel, Mohammed El-Aichi, Dominique Barbolosi, Eric Deutsch, Charlotte Robert

2. Forecasting chemoradiation response mid-treatment for high-grade gliomas through patient-specific biology-based modeling.
   Hormuth DA, Farhat M, Panthi B, Langshaw H, Shanker MD, Talpur W, Thrower S, Goldman J, Ty S, Custer C, Kowalski J, Yankeelov TE, Chung C.

3. A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiation
   Hugo J. M. Miniere, David A. Hormuth II, Ernesto A. B. F. Lima, Maguy Farhat, …, Jodi Goldman, Sophia Ty, Caroline Chung, Thomas E. Yankeelov

4. Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach
   Chiara Villa, Philip K. Maini, Alexander P. Browning, Adrianne L. Jenner, Sara Hamis, Tyler Cassidy

5. Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories
   Jeanette A.I. Johnson, Daniel R. Bergman, Heber L. Rocha, David L. Zhou, …, Laura M. Heiser, Genevieve L. Stein-O’Brien, Elana J. Fertig, Paul Macklin

6. The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies
   Kyle Swanson, Wesley Wu, Nash L. Bulaong, John E. Pak & James Zou

7. Quantifying the energy landscape of high-dimensional oscillatory systems by diffusion decomposition
   Shirui Bian, Ruisong Zhou, Wei Lin, Chunhe Li

8. Study of the interplay between cancer, inflammation, and immune disorders: A cellular automaton approach
   Juan Uriel Legaria-Peña, Félix Sánchez-Morales, Yuriria Cortés-Poza

9. Integrated in vivo combinatorial functional genomics and spatial transcriptomics of tumours to decode genotype-to-phenotype relationships
   Marco Breinig, Artem Lomakin, Elyas Heidari, Michael Ritter, …, Peter Schirmacher, Oliver Stegle, Moritz Gerstung, Darjus F. Tschaharganeh

10. Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests
    Daniel Camacho-Gomez, Carlos Borau, Jose Manuel Garcia-Aznar, Maria Jose Gomez-Benito, Mark Girolami, Maria Angeles Perez

1. Reinforcement Failing guides the discovery of emergent spatial dynamics in adaptive tumor therapy
   Serhii Aif, Maximillian Eiche, Nico Appold, Elias Fischer, Timon Citak, Jona Kayser

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:

Based on the book: Applied Antifragility in Natural Systems

Artist: Jeffrey West

Caption: The artwork is inspired by the concept of antifragility, where a system can benefit from input variation. In the book, we make the connection between antifragility and probability distribution functions. The artwork shows example probability distribution functions whose tails skew either left or right, depending on the underlying functional relationship between the input and the output.

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