Development of a model selection method for population pharmacokinetics analysis by deep-learning based reinforcement learning (U01) Clinical Trials Not Allowed

The purpose of this project is to develop a model selection method for the population pharmacokinetics (popPK) analysis using a deep-learning based reinforcement learning (RL) algorithm. The development of the method encompasses method validation and performance verification by simulations as well as real pharmacokinetics (PK) data sets.