How optimal control of cellular cost shapes population-level tumor growth dynamics
This paper employs a continuous-time Markov decision framework to demonstrate that the specific structure of objective functions—such as the type of cost penalties and reward constraints—fundamentally dictates whether a tumor population exhibits regulated, dormant-like dynamics or sustained, uncontrolled growth.