Abstract
Pharmaceutical sciences experts and regulators acknowledge that pharmaceutical development as well as drug usage requires more than scientific advancements to cope with current attrition rates/therapeutic failures. Drug disease modeling and simulation (DDM&S) creates a paradigm to enable an integrated and higher-level understanding of drugs, (diseased)systems, and their interactions (systems pharmacology) through mathematical/statistical models (pharmacometrics)〈sup〉1〈/sup〉-hence facilitating decision making during drug development and therapeutic usage of medicines. To identify gaps and challenges in DDM&S, an inventory of skills and competencies currently available in academia, industry, and clinical practice was obtained through survey. The survey outcomes revealed benefits, weaknesses, and hurdles for the implementation of DDM&S. In addition, the survey indicated that no consensus exists about the knowledge, skills, and attributes required to perform DDM&S activities effectively. Hence, a landscape of technical and conceptual requirements for DDM&S was identified and serves as a basis for developing a framework of competencies to guide future education and training in DDM&S. © 2013 ASCPT All rights reserved.
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CITATION STYLE
Vlasakakis, G., Comets, E., Keunecke, A., Gueorguieva, I., Magni, P., Terranova, N., … Kloft, C. (2013). White paper: Landscape on technical and conceptual requirements and competence framework in drug/disease modeling and simulation. CPT: Pharmacometrics and Systems Pharmacology, 2(5). https://doi.org/10.1038/psp.2013.16
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