This week in Mathematical Oncology

Share this post

This week in MathOnco 236

thisweekmathonco.substack.com

This week in MathOnco 236

Cancer etiology, traveling waves, reinforcement learning, precision oncology, and more

Jeffrey West
,
Maximilian Strobl
, and
Sandy Anderson
Dec 8, 2022
2
Share
Share this post

This week in MathOnco 236

thisweekmathonco.substack.com
“This week in Mathematical Oncology” — Dec. 8, 2022
> mathematical-oncology.org
From the editor:

Today we feature articles on cancer etiology, traveling waves, reinforcement learning, precision oncology, and more.

In other exciting news: there is an opening for a postdoc in my lab (see link below), along with a few other jobs & meetings posted, too.

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org


“You do not rise to the level of your goals. You fall to the level of your systems.”
— J. Clear (Atomic Habits)


  1. Traveling wave speed and profile of a “go or grow” glioblastoma multiforme model
    Aisha Tursynkozha, Ardak Kashkynbayev, Bibinur Shupeyeva, Erica M. Rutter, Yang Kuang

  2. Model enhanced reinforcement learning to enable precision dosing: A theoretical case study with dosing of propofol
    Benjamin Ribba, Dominic Stefan Bräm, Paul Gabriel Baverel, Richard Wilson Peck

  3. Evaluating cancer etiology and risk with a mathematical model of tumor evolution
    Sophie Pénisson, Amaury Lambert, Cristian Tomasetti

  4. Phase I study of a novel glioblastoma radiation therapy schedule exploiting cell-state plasticity
    Jamie A Dean, Shyam K Tanguturi, Daniel Cagney, Kee-Young Shin, …, Paul Catalano, Daphne Haas-Kogan, Brian M Alexander, Franziska Michor

  5. Spatially aware dimension reduction for spatial transcriptomics
    Lulu Shang & Xiang Zhou

  6. Ten Simple Rules for Better Figures
    Nicolas P. Rougier, Michael Droettboom, Philip E. Bourne

  7. Extrinsic cell death pathway plasticity: a driver of clonal evolution in cancer?
    Eric Seidel & Silvia von Karstedt

  8. Early-career setback and future career impact
    Yang Wang, Benjamin F. Jones & Dashun Wang

  9. The coming decade in precision oncology: six riddles
    Adam Wahida, Lars Buschhorn, Stefan Fröhling, Philipp J. Jost, Andreas Schneeweiss, Peter Lichter & Razelle Kurzrock

  10. Modeling age-specific incidence of colon cancer via niche competition
    Steffen Lange, Richard Mogwitz, Denis Hünniger, Anja Voß-Böhme

  1. Tumor containment for Norton-Simon models
    Frank Alvarez, Yannick Viossat

  2. Mathematical Modeling of Leukemia Chemotherapy in Bone Marrow
    Ana Niño-López, Salvador Chulián, Álvaro Martínez-Rubio, Cristina Blázquez-Goñi, María Rosa

  3. Orthogonal Multi-frequency Fusion Based Image Reconstruction and Diagnosis in Diffuse Optical Tomography
    Hanene Ben Yedder, Ghassan Hamarneh, Ben Cardoen

  1. Maths + Cancer
    A Podcast from the University of Oxford
    Hosted by Dr Vicky Neale: “Exploring how maths and stats help with cancer prevention, diagnosis and treatment – and the stories behind the researchers making it happen.“

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: “Inferring parameters of cancer evolution in chronic lymphocytic leukemia” in PLoS Comput Biol

Artist: Nathan Lee

Caption: "This is an abstract visual representation of a Monte Carlo simulation of carcinogenesis, similar to simulations we used in our recent paper where we reconstruct the evolutionary history of liquid cancers, including when cancer was initiated and when subsequent driver mutations occurred. Before applying our methods to clinical data, we evaluated them on simulated cancers. To generate this image, I perform a Monte Carlo simulation with birth, death, and mutation to generate a population of 600 cells. The first cell starts with no mutations, and its wild-type state is represented by a square. Upon each mutation, I sample from a distribution to determine that square’s “genotype,” or the noise added to each corner. The effect of new mutations is added to the existing genotype of each square. The opacity of each polygon is determined by the total number of mutations accumulated by the cell."

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

  • NEW: Applied Postdoctoral Fellow – Integrated Mathematical Oncology (Jeffrey West, Moffitt Cancer Center) – Open until filled

  • NEW: Postdoctoral fellow in Computational Cancer Biology (Colm Ryan, Conway Institute, University College, Dublin) - Open until filled

2. Conferences / Meetings

  • NEW: Mathematical and Computational Methods in Cancer and Biology: A celebration of the 5th anniversary of the IICD and Simon Tavare's 70th (Columbia University) - March 16 - 18, 2023

3. Special issues


Current subscriber count: >1.4k

2
Share
Share this post

This week in MathOnco 236

thisweekmathonco.substack.com
Comments
Top
New
Community

No posts

Ready for more?

© 2023 Jeffrey West
Privacy ∙ Terms ∙ Collection notice
Start WritingGet the app
Substack is the home for great writing