Article

Reinforcement learning-guided control strategies for CAR T-cell activation and expansion

2023-07-15

Abstract excerpt

Reinforcement learning (RL), a subset of machine learning (ML), can potentially optimize and control biomanufacturing processes, such as improved production of therapeutic cells. Here, the process of CAR-T cell activation by antigen presenting beads and their subsequent expansion is formulated in-silico . The simulation is used as an environment to train RL-agents to dynamically control the number of beads in cul...

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Literature Corpus work: e8c919ef-4ee0-56b5-9b4e-75339ac17a33
DOI: 10.1101/2023.07.14.548968

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