ESTIMATING PHARMACOKINETIC PARAMETERS USING DEEP LEARNING

摘要

A method and system for predicting at least one pharmacokinetic parameter of an agent administered to a subject. One or more processors train, by one or more processors, a neural network based on a simulated training data collection. The simulated training data collection comprising a simulated time-series concentration dataset and a simulated value for a pharmacokinetic parameter that corresponds to the simulated time-series concentration dataset. The one or more processors receive a time-series concentration dataset of the agent obtained from a subject. The one or more processors predict a value for the pharmacokinetic parameter using the time-series concentration dataset and the neural network that has been trained.