PBPK modelling and Predictive Control

Traditionally, drug administration scheduling is – at best – designed using average population data such as PK/PD profiles. This common practice yields suboptimal therapies and does not consider the distinct attributes of the patients treating them as a bulk. Outliers of the general distribution are likely to exhibit adverse effects due to violation of toxicity constraints or fail to retain the therapeutic levels. The lack of any feedback contributes even more to the probability of something going wrong. Nowadays, the grounds have shifted and the need for accuracy and efficiency calls for closed-loop practices introducing thus automatic control into the field. Computer-aided drug administration will provide an optimal solution to the problem, with the guarantee that all safety requirements are fulfilled.

PBPK

Diffusion-driven pharmacokinetics – which appear primarily as molecule size increases – is well described by the model of capillary membranes that separate the tissue from the blood circulation. For that reason, all compartments are represented as pairs of their tissue and plasma counterparts and pairs of mass balance equations are formulated. Therein, permeability coefficients appear which characterize the diffusion-driven mass flow. 

Allometry

Allometry is the study of relationships between the geometric characteristics of an organism and their anatomical or physiological dimensions and conformation. Allometry allows us to extend results driven from mice to humans or other species.

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This work was presented in the 21st European Symposium on Computer-Aided Chemical Engineering (ESCAPE). You can download my presentation file in PDF format from http://users.ntua.gr/chvng/ac2/ESCAPE21SopasakisP.pdf.

Attribution/Citation
This work was presented in the 21st European Symposium on Computer Aided Chemical Engineering. Cite this work as follows:

P. Sopasakis, P. Patrinos, S. Giannikou and H. Sarimveis, "Physiologically Based Pharmacokinetic Modeling and Predictive Control: an integrated approach for optimal drug administration", Computer Aided Chemical Engineering 29, pp. 1490-1494.