Last speaker at #MathOnco25 is our own @mathonco.bsky.social Jeffrey West that provides a study of the #mathonco literature to produce this definition of MathOnco: the use of interpretable models to understand and improve cancer therapy
Great last didactic at #MathOnco25 by @andriy-marusyk.bsky.social describing the complex landscape of evolutionary and ecological mechanisms aiding cancers become treatment-resistant. Andriy and I both share the idea of maps as an example of what models can be
Last keynote at #MathOnco25 by Sarah Bruningk talking about #AI in #Medicine. While generally optimistic about AI in medicine she is aware of the challenge that AI works best when there is a lot of data and that is almost never the case in clinical oncology
Thursday keynote at #MathOnco25 with @robjohnnoble.bsky.social showing a wealth of #MathOnco models of cancer evolution and evolutionary-enlightened therapies. Notice the bingo card: he showed enough different math models to fill up the card!
Great talk, lots of cool dynamics in Galit's talk and great call to arms from her at #MathOnco25. While @harvard.edu's federal grants have been suspended the research is still great and worth doing
Our own Tatiana Miti highlighting the importance of data to find out the initial configuration of an ABM describing early stages in metastasis, something which is hard to study with experimental models and clinical data #MathOnco25