Article

A memory-driven reinforcement learning model of phenotypic adaptation for anticipating therapeutic resistance in prostate cancer

2025-11-04

Abstract excerpt

While contemporary cancer treatment strategies have significantly prolonged the lives of patients, therapeutic resistance remains a predominant cause of disease progression and cancerrelated deaths. Cancer therapy often induces gene regulatory responses that promote cell survival in the face of this therapy. Herein, we sought to develop a stochastic model of the response to repeat therapeutic challenge. This model...

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Literature Corpus work: d6bbc312-baa6-5829-aa70-c79f1404410d
DOI: 10.1101/2025.11.03.686133

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