Application of Deep Neural Networks as a Prescreening Tool to Assign Individualized Absorption Models in Pharmacokinetic Analysis

Application of Deep Neural Networks as a Prescreening Tool to Assign Individualized Absorption Models in Pharmacokinetic Analysis

A specific model for drug absorption is necessarily assumed in pharmacokinetic (PK) analyses following extravascular dosing. Unfortunately, an inappropriate absorption model may force other model parameters to be poorly estimated. An added complexity arises in population PK analyses when different i...

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Bibliographic Details
Main Authors: Mutaz M. Jaber, Burhaneddin Yaman, Kyriakie Sarafoglou, Richard C. Brundage
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Pharmaceutics
Subjects:
pharmacokinetics
deep learning
machine learning
absorption models
visual inspection
individualized models
Online Access:https://www.mdpi.com/1999-4923/13/6/797

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https://www.mdpi.com/1999-4923/13/6/797

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