This week in MathOnco 191
Vasculogenesis, spatial distribution models, precision dosing, collateral sensitivity, 2021 in review, and more.
“This week in Mathematical Oncology” — Jan. 6, 2022
From the editor:
Happy New Year! The Mathematical Oncology team is expanding. Please welcome
(Heidelberg University), who will be helping us keep the
website up-to-date. Thanks for volunteering Saskia!
PS, don’t miss David Basanta’s
“Year in Review” blog post
, providing a summary all the exciting posts from 2021.
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Together, we continue to build up the field of mathematical oncology!
A novel nonlocal partial differential equation model of endothelial progenitor cell cluster formation during the early stages of vasculogenesis
Chiara Villa, Alf Gerisch, Mark A. J. Chaplain
Extinction of Bistable Populations is Affected by the Shape of their Initial Spatial Distribution
Yifei Li, Stuart T. Johnston, Pascal R. Buenzli, Peter van Heijster, Matthew J. Simpson
Digital Evolution for Ecology Research: A Review
Emily Dolson, Charles Ofria
A continued learning approach for model-informed precision dosing: updating models in clinical practice
Corinna Maier, Jana de Wiljes, Niklas Hartung, Charlotte Kloft, Wilhelm Huisinga
A phenotype-structured model to reproduce the avascular growth of a tumor and its interaction with the surrounding environment
Giada Fiandaca, Sara Bernardi, Marco Scianna, Marcello Edoardo Delitala
Combination of antiangiogenic treatment with chemotherapy as a multi-input optimal control problem
Urszula Ledzewicz, Heinz Schättler
Dynamic Phenotypic Switching and Group Behavior Help Non-Small Cell Lung Cancer Cells Evade Chemotherapy
Arin Nam, Atish Mohanty, Supriyo Bhattacharya, Sourabh Kotnala, …, Herbert Levine, Mohit Kumar Jolly, Prakash Kulkarni, Ravi Salgia
Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning
Daria Kurz, Carlos Salort Sánchez, Cristian Axenie
Bridging scales in a multiscale pattern-forming system
Laeschkir Würthner, Fridtjof Brauns, Grzegorz Pawlik, Jacob Halatek, Jacob Kerssemakers, Cees Dekker, Erwin Frey
Interpreting dN/dS under different selective regimes in cancer evolution
Andrés Pérez-Figueroa, David Posada
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFNα therapy against Myeloproliferative Neoplasms
Gurvan Hermange, William Vainchenker, Isabelle Plo, Paul-Henry Cournède
Phillip Compeau: A free course in modeling biological systems at multiple scales
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Caption: We developed a novel nonlocal partial differential equation model of the early stages of cluster-based vasculogenesis in order to disentangle the mechanisms responsible for the formation and size of the endothelial progenitor cell (EPC) clusters characterising this neovascularisation process with big therapeutic potential (e.g. in tumours and ischemia). In this figure we show snapshots of numerical simulations suggesting that increasing matrix degradation (top-to-bottom), likely linked with hypoxia, might speed up cluster formation (EPC density plot, time increasing left-to-right; figures have been digitally enhanced) without affecting cluster size. For more detail, read here.
Created by: Chiara Villa
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