This week in MathOnco 161
Tumor-immune dynamics, cancer origins, metastatic clusters, reinforcement learning chemo
“This week in Mathematical Oncology” — Newsletter
May. 6, 2021
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jeffrey.west@moffitt.org
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From the editor:
Summary of contents:
Cancer
origins
Metastatic
clusters
Tumor-immune
dynamics
Reinforcement
learning
for chemo
New
postdoc
&
senior
positions
Enjoy,
-Jeffrey West
Quantitative mapping of individual voxels in the peritumoral region of IDH-wildtype glioblastoma to distinguish between tumor infiltration and edema
Archya Dasgupta, Benjamin Geraghty, Pejman Jabehdar Maralani, Nauman Malik, …, James Perry, Angus Lau, Arjun Sahgal, Gregory CzarnotaExploring the dynamics of a tumor-immune interplay with time delay
Mrinmoy Sardar, Subhas Khajanchi, Santosh Biswas, Sayed F. Abdelwahab, Kottakkaran Sooppy Nisar
Cluster Size Distribution of Cells Disseminating from a Primary Tumor
Mrinmoy Mukherjee, Herbert LevineSpatial analysis of tumor infiltrating lymphocytes based on deep learning using histopathology image to predict progression-free survival in colorectal cancer
Hongming Xu, Yoon Jin Cha, Jean R. Clemenceau, Jinhwan Choi, Sung Hak Lee, Jeonghyun Kang, Tae Hyun HwangReinforcement learning derived chemotherapeutic schedules for robust patient-specific therapy
Brydon Eastman, Michelle Przedborski, Mohammad KohandelAttribution of Cancer Origins to Endogenous, Exogenous, and Actionable Mutational Processes
Vincent L. Cannataro, Jeffrey D. Mandell, Jeffrey P. Townsend
1. A field guide to cultivating computational biology
The Mathematical Oncology Blog
Elana Fertig: “Computational biology is a transdisciplinary field, spanning expertise in mathematics, computer science, informatics, statistics, data science, and engineering. Investigators also employ numerous models to research, and are most commonly engaged in team science research. In spite of the major advances and healthy culture of computational biology, academic incentive structures often cause many interdisciplinary investigators to languish in career development. [W]e outline solutions to solve the structural barriers to attract and cultivate computational biologists.”
The newsletter now has a dedicated homepage (thisweekmathonco.substack.com), which allows us to post cover artwork for each issue. Go explore the previous artwork here, and if you’d like to submit a cover for consideration please reply to this email. We encourage submissions that coincide with the release of a recent paper from your group. Today’s submission is below:
Inspired by today’s blog post, today’s featured artwork (originally created by Arturo Araujo) represents the interdisciplinary nature of mathematical oncology. Learn more at mathematical-oncology.org.
Networks in Cancer: From Symmetry Breaking to Targeted Therapy
Guest Editor: Cristian Axenie, Roman Bauer, María Rodríguez MartínezUnderstanding the Evolutionary Dynamics and Ecology of Cancer in Treatment Resistance
Guest Editor: David BasantaFrom Ecology to Cancer Biology and Back Again
Guest Editors: Fred Adler, Sarah Amend, Chris WhelanFrontiers in quantitative cancer modeling
Guest Editors: Mohit Kumar Jolly, Heiko Enderling
NEW: Senior Quantitative Systems Pharmacologist, Pfizer Oncology (Blerta Shtylla)
NEW: Mathematical Immuno-Oncology postdoc (Kasia Rejniak, Moffitt)
Research Fellow in Computational Systems Biology Cancer Research (Simon Mitchell)
PhD student - Measuring cancer evolution in a changing tumour microenvironment (Xiaowei Jiang)
Postdoctoral Scholar - Genetics and Genome Sciences (Christopher McFarland)
Postdoc on colorectal cancer evolution or cancer immunotherapy (Ivana Bozic)
Postdoc on cancer/immune modeling and machine learning (Eduardo Sontag)
Early Stage Researcher: Evolutionary therapy in ovarian cancer (Ben Werner)
Mathematical Modeling Expert in Oncology Translational Science (Boehringer Ingelheim)
Research Associate - Biostatistician (University of Manchester)
Principal Scientist – Oncology PK/PD Modelling (Boehringer Ingelheim)
Postdoctoral Research Position in Computational Immunology (Sylvain Cussat-Blanc)
Systems Biology Modeler Positions in Biopharma Consulting Company (Helen Moore)
Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)
Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
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