A continued learning approach for model-informed precision dosing: Updating models in clinical practice.

ABSTRACT: Model-informed precision dosing (MIPD) is a quantitative dosing framework that combines prior knowledge on the drug-disease-patient system with patient data from therapeutic drug/ biomarker monitoring (TDM) to support individualized dosing in ongoing treatment. Structural models and prior parameter distributions used in MIPD approaches typically build on prior clinical trials that involve only a limited number of patients selected according to some exclusion/inclusion criteria. Compared to the prior clinical trial population, the patient population in clinical practice can be expected to also include altered behavior and/or increased interindividual variability, the extent of which, however, is typically unknown. Here, we address the question of how to adapt and refine models on the level

SUBMITTER: Maier C 

PROVIDER: S-EPMC8846635 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature