Free White Paper
Future of Drug Discovery: Bayesian Pharmacokinetic Modeling
Inside this White Paper
The escalating challenges in pharmaceutical innovation include high costs and inefficiencies in drug development, frequently resulting in late-stage failures. To combat these issues, the adoption of Bayesian methodologies is recommended, as they enhance flexibility and optimize the use of accumulated knowledge during the drug development process, with the goal of reducing attrition rates in clinical trials. The framework presented for quantifying uncertainty and integrating prior information illustrates how Bayesian modeling can contribute to more efficient and effective drug development strategies.