This week in MathOnco 274
Identifiability analysis, clonal expansion, spatial biology, stochastic dynamics, and more.
“This week in Mathematical Oncology” — Nov. 2, 2023
> mathematical-oncology.org
From the editor:
Today’s newsletter contains articles on identifiability analysis, clonal expansion, spatial biology, stochastic dynamics, and more.
Enjoy,
Jeffrey West
jeffrey.west@moffitt.org
Is there something we missed?
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https://mathematical-oncology.org/newsletter
Optimizing IFN Alpha Therapy against Myeloproliferative Neoplasms
Gurvan Hermange, Paul-Henry Cournède and Isabelle PloStochastic model for cell population dynamics quantifies homeostasis in colonic crypts and its disruption in early tumorigenesis
Konstantinos Mamis, Ruibo Zhang and Ivana BozicStochastic tumor-immune interaction model with external treatments and time delays: An optimal control problem
H. J. Alsakaji, F. A. Rihan, K. Udhayakumar, F. El KtaibiNetwork Inference from Cancer and Epithelial Cell Co-Culture Reveal Microenvironmental Configurations That Drives Population Dynamics
Alexandre Sarmento Queiroga, Mauro Cesar Cafundó Morais, Beatriz StranskySpatial biology of Ising-like synthetic genetic networks
Kevin Simpson, Alfredo L’Homme, Juan Keymer & Fernán FedericiPhysics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence
Luciana Melina Luque ,Carlos Manuel Carlevaro ,Camilo Julio Llamoza Torres,Enrique Lomba
Minimally Sufficient Experimental Design using Identifiability Analysis
Irina Kareva, Jana GevertzXinyu Yang, Wei Liu, Geoff Macintyre, Peter Van Loo, Florian Markowetz, Peter Bailey, Ke Yuan
Interfacial morphodynamics of proliferating microbial communities
Alejandro Martinez-Calvo, Carolina Trenado-Yuste, Hyunseok Lee, Jeff Gore, Ned S Wingreen, Sujit S Datta
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:
Integrated Mathematical Oncology PhD
Deadline: December 1, 2023
We’d like to invite you to apply to Moffitt Cancer Center’s PhD program in the Integrated Mathematical Oncology track, which consists of focused training in mathematical modeling for cancer biology and clinical oncology problems.
Students will receive interdisciplinary training in the broader field of cancer biology and immunology through coursework and immersion in the Moffitt Cancer Center’s research endeavors, in collaboration with the University of South Florida.
Moffitt Cancer Center has the largest group of mathematical oncologists in its unique Integrated Mathematical Oncology department. Moffitt Cancer Center is the central hub for translational mathematical modeling research, providing a unique training environment for graduate studies.
We're on the lookout for students who are not only good with mathematical models but can also dive deep into discussions about biology with biologists and chat about clinical data with doctors.
The program offers full tuition, health insurance, and a stipend. Apply before December 1st at this link:
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.
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