One *really* neat thing about the model is that it allows for a mouse-specific prediction of the entire dose response curve shift over time (EC50 increases). Modeling predicts re-sensitization on treatment holidays.

The dose-dependent rate of resistance is itself a CONCAVE function, showcasing the usefulness of dose variation (intermittent treatment) at minimizing resistance onset.

Attending ‘Mathematical Foundations of Oncological Digital Twins’ meeting at the Isaac Newton Institute in Cambridge organised by Steven Niederer (UCL) and Helen Byrne (University of Oxford). Watch along with me here: newton.ac.uk/event/ooew07

It was great to see friend and former IMO member Maximilian Strobl presenting a vision for his independent research here in the UK! He’s gonna be one to watch for sure.

This week in MathOnco, 344 Adaptive therapy, agent-based models, plasticity, computational pathology, and more... mathematical-oncology.org/newsletter Art: Marco Breinig, Elias Heidari and Artem Lomakin 😎💯

New paper from the lab is out today! PhD student Brian Johnson tour de force in applying and validating open weight LLMs for phenotyping in massive EHR databases. Opens up many exciting opportunities for research using population-scale data #mathonco bmjopengastro.bmj.com/content/12/1/e…