This week in MathOnco 320

Hematopoeisis, plasticity, mechanistic learning, human-AI, and more...

“This week in Mathematical Oncology” — Feb 6, 2025

> mathematical-oncology.org

From the editor:

This week’s issue features many interesting topics like clonal hematopoeisis, plasticity, mechanistic learning, human-AI, and more...

As always, please just reply to this email if you’d like to include any of your relevant math onco papers in this newsletter!

Thanks,

Jeffrey West
jeffrey.west@moffitt.org

1. Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
   Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry

2. Modeling non-genetic adaptation in tumor cells
   Edmund C. Lattime, Subhajyoti De

3. Limit theorems for the site frequency spectrum of neutral mutations in an exponentially growing population
   Einar Bjarki Gunnarsson, Kevin Leder, Xuanming Zhang

4. Cancer evolution: from Darwin to the Extended Evolutionary Synthesis
   Thomas Savy, Lucy Flanders, Thaneswari Karpanasamy, Min Sun, Marco Gerlinger

5. Intricacies of human–AI interaction in dynamic decision-making for precision oncology
   Dipesh Niraula, Kyle C. Cuneo, Ivo D. Dinov, Brian D. Gonzalez, …, Javier F. Torres-Roca, Hsiang-Hsuan Michael Yu & Issam El Naqa

6. Data-driven model discovery and model selection for noisy biological systems
   Xiaojun Wu,MeiLu McDermott,Adam L MacLean

7. Negligible Long-Term Impact of Nonlinear Growth Dynamics on Heterogeneity in Models of Cancer Cell Populations
   Stefano Giaimo, Saumil Shah, Michael Raatz & Arne Traulsen

8. The dynamics of hematopoiesis over the human lifespan
   Hojun Li, Parker Côté, Michael Kuoch, Jideofor Ezike, …, Aviv Regev, Edroaldo Lummertz da Rocha, Geoffrey Schiebinger & R. Grant Rowe

1. Optimal dosing of anti-cancer treatment under drug-induced plasticity
   Einar Bjarki Gunnarsson, Benedikt Vilji Magnússon, Jasmine Foo

2. Migrastatic Therapy as a Potential Game-Changer in Adaptive Cancer Treatment
   Katharina Schneider, Louise Spekking, Sepinoud Azimi, Barbora Peltanová, Daniel Rösel, Joel S. Brown, Robert A. Gatenby, Jan Brábek, Kateřina Staňková

1. Eduardo Sontag

   Math Oncology Interviews by Thomas Hillen (YouTube)

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 paper: A multiscale model of immune surveillance in micrometastases gives insights on cancer patient digital twins published in npj systems biology and applications

Artist: Heber L. Rocha, Maximilian Strobl, and Paul Macklin

Caption: Metastasis remains the leading cause of cancer-related mortality, driven by the complex interplay between immune cells and micrometastases. Multiscale mathematical models are invaluable tools for characterizing these tumor-immune interactions and predicting patient outcomes. In our recent study, we explored over 100,000 virtual patient trajectories, revealing three primary outcomes: uncontrolled tumor growth, partial immune control, and complete tumor elimination. This figure provides an artistic representation of the simulated tissue dynamics and key parameters influencing these outcomes. It highlights the potential and challenges of cancer patient digital twins in advancing precision oncology.

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