This week in MathOnco 291
Mutational order, angiogenesis, metastasis, optimal control, spatial architecture, and more.
“This week in Mathematical Oncology” — Apr 11, 2024
> mathematical-oncology.org
From the editor:
Hello! Today’s newsletter has articles on topics like mutational order, angiogenesis, metastasis, optimal control, spatial architecture, and more.
I also linked to a fun re-creation of a classic game theory experiment (but using LLM’s) in News section below.
PS, last chance to apply for a postdoc in my group! Let me know if you plan to apply.
Enjoy,
Jeffrey West
jeffrey.west@moffitt.org
Comparative analysis of the spatial distribution of brain metastases across several primary cancers using machine learning and deep learning models
Saeedeh Mahmoodifar, Dhiraj J. Pangal, Josh Neman, Gabriel Zada, …, Jason Sheehan, Stylianos Pikis, Georgios Mantziaris & Paul K. NewtonThe angiogenic growth of cities
Isabella Capel-Timms, David Levinson, Bahman Lahoorpoor, Sara Bonetti and Gabriele ManoliMathematical Model-Driven Deep Learning Enables Personalized Adaptive Therapy
Kit Gallagher, Maximilian A. Strobl, Derek S. Park, Fabian C. Spoendlin, Robert A. Gatenby, Philip K. Maini, Alexander R. AndersonOptimal control in reducing side effects during and after chemotherapy of solid tumors
Zeinab Joorsara, Seyed Mohammad Hosseini, Sakine EsmailiSomatic Mutations in Normal Tissues: Calm before the Storm
Zahraa Rahal, Paul Scheet, Humam KadaraOrder-of-Mutation Effects on Cancer Progression: Models for Myeloproliferative Neoplasm
Yue Wang, Blerta Shtylla & Tom ChouCovariate modeling in pharmacometrics: General points for consideration
Kinjal Sanghavi, Jakob Ribbing, James A. Rogers, Mariam A. Ahmed, Mats O. Karlsson, …, Yaning Wang, Mirjam N. Trame, Hao Zhu, Justin J. WilkinsMaking drugs from T cells: The quantitative pharmacology of engineered T cell therapeutics
Daniel C. Kirouac, Cole Zmurchok & Denise MorrisA taxonomy of multiple stable states in complex ecological communities
Guim Aguadé-Gorgorió, Jean-François Arnoldi, Matthieu Barbier, Sonia KéfiSpatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Katey S. S. Enfield, Emma Colliver, Claudia S Y. Lee, Alastair Magness, …, Julian Downward, Erik Sahai, Charles Swanton, Mihaela Angelova
Understanding the role of B-cells in CAR T-cell therapy in leukemia through a mathematical model
Sergio Serrano, Roberto Barrio, Álvaro Martínez-Rubio, Juan Belmonte-Beitia, Víctor M. Pérez-García
An evolutionary model of personality traits related to cooperative behavior using a large language model
Reiji Suzuki & Takaya Arita
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: Bridging scales: A hybrid model to simulate vascular tumor growth and treatment response published in Computer Methods in Applied Mechanics and Engineering
Artist: Tobias Duswald, Ernesto A.B.F. Lima, J. Tinsley Oden, Barbara Wohlmuth
Caption: Cancer begins at the cellular level, where intricate and complex processes at the microscopic scale lead to abnormal cell proliferation, culminating in the formation of tumors visible to the naked eye. These growths significantly compromise individual health and can be fatal. In our study, we aimed to encapsulate the microscopic dynamics of vascular tumor growth while accurately reflecting the observable, large-scale growth patterns of cancer and the impact of treatment. Our model is tailored to breast cancer, employing a combination therapy approach with Trastuzumab and Doxorubicin. However, its flexible design allows for easy adaptation to other cancer types and treatments. The image depicts the simulation at the onset of the treatment with Trastuzumab - the spherical agents are tumor cells in different cell states (different colors), the vasculature is shown in red, and Trastuzumab is displayed in purple. Recognizing the potential challenges in implementing such models, we have made the complete source code publicly accessible, including scripts to reproduce the results. This ensures that future enhancements and modifications to the model can be undertaken efficiently, without the necessity of starting from the ground up.
Visit the mathematical oncology page to view jobs, meetings, and special issues. We will post new additions here, but the full list can found at mathematical-oncology.org.
1. Jobs
Current subscriber count: >1.9k