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Updated: Jun 28, 2026

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
Published on: November 10, 2023
Combined models for data from in vitro-in vivo correlation experiments
Tom Jacobs1, Stefaan Rossenu, Adrian Dunne
1Interuniversity Institute for Biostatistics and Statistical Bioinformatics, University Hasselt, Diepenbeek, Belgium. tom.jacobs@uhasselt.be
Abstract:
A method is presented to describe the in vitro-in vivo correlation (IVIVC) of an extended release drug formulation. This extended release drug product is overencapsulated with immediate release material. The heterogeneity of the capsule is modelled using a combined model of an extended release and an immediate release pharmacokinetic profile. Whereas an IVIVC is conventionally performed using a two-stage procedure, the model uses a one-stage convolution-based method. The method is applied to a Galantamine controlled release formulation, an acetylcholinesterase inhibitor for the treatment of Alzheimer's disease. The average percentage prediction error indicated a good fit of the new model.
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