title: In-silico simulations of advanced drug delivery systems: what will the future offer?
abstract: This commentary enlarges on some of the topics addressed in the Position Paper "Towards more effective advanced drug delivery systems" by Crommelin and Florence (2013). Inter alia, the role of mathematical modeling and computer-assisted device design is briefly addressed in the Position Paper. This emerging and particularly promising field is considered in more depth in this commentary. In fact, in-silico simulations have become of fundamental importance in numerous scientific and related domains, allowing for a better understanding of various phenomena and for facilitated device design. The development of novel prototypes of space shuttles, nuclear power plants and automobiles are just a few examples. In-silico simulations are nowadays also well established in the field of pharmacokinetics/pharmacodynamics (PK/PD) and have become an integral part of the discovery and development process of novel drug products. Since Takeru Higuchi published his seminal equation in 1961 the use of mathematical models for the analysis and optimization of drug delivery systems in vitro has also become more and more popular. However, applying in-silico simulations for facilitated optimization of advanced drug delivery systems is not yet common practice. One of the reasons is the gap between in vitro and in vivo (PK/PD) simulations. In the future it can be expected that this gap will be closed and that computer assisted device design will play a central role in the research on, and development of advanced drug delivery systems.
authors.affiliation: University of Lille, College of Pharmacy, 3 Rue du Prof. Laguesse, 59006 Lille, France. juergen.siepmann@univ-lille2.fr
authors.forename: Juergen
authors.initials: J
authors.lastname: Siepmann
mesh_terms: D000818:Animals; D035843:Biomedical Research / Q000639:trends*; D016503:Drug Delivery Systems / Q000639:trends*; D006801:Humans; D036103:Nanotechnology / Q000639:trends*; D013678:Technology, Pharmaceutical / Q000639:trends*