Hierarchical deep compartment modeling: A workflow to leverage machine learning and Bayesian inference for hierarchical pharmacometric modeling

• Autors principals: Ahmed Elmokadem (Autor), Matthew Wiens (Autor), Timothy Knab (Autor), Kiersten Utsey (Autor), Samuel P. Callisto (Autor), Daniel Kirouac (Autor)
• Format: Llibre
• Publicat: Wiley, 2024-10-01T00:00:00Z.
• Matèries: article
• Accés en línia: Connect to this object online.

Abstract Population pharmacokinetic (PK) modeling serves as the cornerstone for understanding drug behavior within a specific population. It integrates subject covariates to elucidate the variability in PK parameters, thus enhancing predictive accuracy. However, covariate modeling within this framew...