Wetenschappelijke stage optimalisatie geneesmiddelendoseringen

Wetenschappelijke stage optimalisatie geneesmiddelendoseringen

 

  • Tijn Gerrits
    Tijn Gerrits · 14 · Wetenschappelijke stage optimalisatie geneesmiddelendoseringen

     

    Internship on knowledge translation

    The virtual child: from mathematical model to clinical dosing advice

    Who

    Bachelor or Master student Biomedical Sciences, Medicine or Medical Biology, with affinity for translational sciences, drug pharmacology/pharmacokinetics and interest modeling & simulation

    When

    A period of 3 to 5 months, between February up to and including June 2024, preferably 4 - 5 days/week

    Where

    Hybrid, Department of Pharmacy, Division of Pharmacology and Toxicology of the Radboudumc

    Supervision & Contact

    dr. Jolien Freriksen (PostDoc), Jolien.Freriksen@radboudumc.nl

    Description

    Introduction: Drug labels often have no recommendations for pediatric use causing clinicians to employ so-called “off-label” practice. Off-label dosing recommendations cannot simply be based on a child’s body weight and are hence established based on best available evidence from e.g., scientific literature and clinical experience. For some drug-age group combinations, there is a lack of information to establish adequate and reliable dosing recommendations. Physiologically-based pharmacokinetic (PBPK) modeling is a more sophisticated approach enabling the prediction of optimal drug dosing recommendations in an in silico environment. These modeling and simulation data are regarded as digital pieces of evidence supporting drug dosing.

    Aim: There is ample modeling and simulation data on drug dosing in pediatrics, but these data often do not reach clinical practice. There is a need to translate this scientific knowledge to user friendly open access information. This asks for an open database that allows interested modelers, clinicians, and/or patients/parents to examine modeling data that contributed to final clinical dosing recommendations. Such a database is recently established by our team in the form of a website.

    Method: The website is now ready for the testing. Scientific knowledge on modeling and simulation in pediatrics (both our own work as well as published data) needs to be translated to information that can be disseminated to other modelers, clinicians and patients/parents via the website. This translation step is not straight-forward as careful appraisal of data from multiple perspectives is essential.

    Result: Templates and protocols will support a structured collection and presentation of modeling and simulation data. While testing and advancing the process of translation and implementation, data is laterally disseminated in a structured and efficient manner via the website. The open availability of this knowledge contributes to optimizing drug dosing in pediatrics and hence safe and effective pharmacotherapy in this special population.

    We are looking for a motivated student who wants to learn more about drug pharmacokinetics and PBPK modeling, is willing to dive into our own database with model-informed dosing data as well as scientific literature, who acknowledges the importance of bringing this information into the world and can help expanding the website.

     

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