Optimizing personalized drug dosing for patients with drug-specific PK models

Presented by

Olivier Barberan/Aurélie Lereclus

About this talk

Fully understanding the Pharmacokinetic properties of a drug is crucial for safe administration of drugs. Too high levels of exposure to a drug can cause severe adverse events whereas a too low exposure can result in the drug not being effective. Differences between patients such as age, gender, kidney status, genotype, smoker, organ impairment or other individual characteristics can significantly influence the pharmacokinetics of a drug. In clinical research, Pharmacokinetic properties are often determined on homogenous population of healthy volunteers. Based on these data, there is often only one recommended dose for all patients (for example 200mg, twice a day). This can result in unexpected dangerous underexposure or overexposure when administering drugs in a highly heterogenous real-world populations. Therefore, adjusting drug dosing to the characteristics of individual patients can significantly reduce adverse events and improve clinical outcomes. Join us for this partner webinar where Elsevier and ExactCure will discuss: *The importance of modelling PK behavior of drugs based on patient characteristics to adjust dosing at individual patient level *The progress in developing phenotype and genotypic high quality dynamic Pharmacokinetic models *The need for high quality data to build Pharmacokinetic data models *How Elsevier and ExactCure are working together to build personalized drug-specific exposure models that allow the prediction of pharmacokinetic properties

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