A memory-driven model of phenotypic adaptation for anticipating the emergence of enzalutamide resistance in prostate cancer
Zahra S. Ghoreyshi, Shibjyoti Debnath, Pelumi Olawuni, Andrew J. Armstrong, Jason A. Somarelli, Jason Thomas George
This paper develops a memory-driven model to predict enzalutamide resistance in prostate cancer by integrating reinforcement learning and clinical data, outperforming traditional models in capturing treatment dynamics and patient responses.
bioRxiv · Nov 3, 2025 · PreprintEvolutionary Biology