This week in MathOnco 254
Mathematical forecasting, model identification, adaptive therapy, and more.
“This week in Mathematical Oncology” — May 18, 2023
> mathematical-oncology.org
From the editor:
Today we feature articles on mathematical forecasting, model identification, adaptive therapy, and more.
Thanks,
Jeffrey West
jeffrey.west@moffitt.org
Novel computational biology modeling system can accurately forecast response to neoadjuvant therapy in early breast cancer
Joseph R. Peterson, John A. Cole, John R. Pfeiffer, Gregory H. Norris, Yuhan Zhang, Dorys Lopez-Ramos, Tushar Pandey, Matthew Biancalana, Hope R. Esslinger, Anuja K. Antony & Vinita TakiarData driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables
Alexander B. Brummer, Agata Xella, Ryan Woodall, Vikram Adhikarla, Heyrim Cho, Margarita Gutova, Christine E. Brown, Russell C. Rockne
Model-Based Systems Engineering for tracing and steering clonal dynamics
Thomas Veith, Saeed Alahmari, Andrew Schultz, Joseph Johnson, Konstantin Maksin, Noemi AndorIn Silico Investigations of Adaptive Therapy Using a Single Cytotoxic or a Single Cytostatic Drug
Daniel K. Saha, Alexander R. A. Anderson, Luis Cisneros, Carlo C. MaleyIn Silico Investigations of Adaptive Therapy Using Two Cytotoxic or Two Cytostatic Drugs
Daniel K. Saha, Alexander R. A. Anderson, Luis Cisneros, Carlo C. MaleyDNA methylation rates scale with maximum lifespan across mammals
Samuel J. C. Crofts, Eric Latorre-Crespo, Tamir Chandra
eLife’s New Model: Initial three-month update
Kristen Ratan and Shilpa Rele (ICOR), Fiona Hutton and Rowena Walton (eLife): ”Since switching to our new model for publishing, we’ve seen consistent submissions and positive feedback from authors.”
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: Multiscale Modeling of Spheroid Tumors: Effect of Nutrient Availability on Tumor Evolution, in J. Phys. Chem B.
Artist: Jakob Rosenbauer
Caption: “Recent years have revealed many complex mechanisms and interactions that drive the development of malignant tumors. However, dissecting how cellular properties influence the fitness of a subpopulation in the context of the microenvironment is experimentally challenging. In our recent paper, we used computational multiscale-modeling to study the impact of the nutrient surroundings on the evolutionary trajectory of the tumor. This artwork is based on a snapshot from our 3-D cellular Potts model of spheroid growth. Using this model we found that the mechanical properties of cells and nutrient fluctuations impact the evolutionary optimum and speed.”
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