Using a Pharmacology to Payer Framework to Support Product Development

C. Kirkpatrick, C. Rayner

Modeling and simulation (M&S) of complex systems has primarily advanced vertically in differing scientific domains with a variety of domain-specific approaches and applications. The pharmacology to payer (P2P) concept is a way to connect independent domains to address drug development market failures. As an initial proof of concept, we collaborated with a team of clinical pharmacologists, […]

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Topics: Clinical Pharmacology Strategy

How to Plan and Implement a Pharmacology to Payer Framework

C. Kirkpatrick, C. Rayner

Pharmacology to the payer (P2P) is an innovative approach to create a framework for dialogue between drug sponsors, regulators, and payers. The core structure is the sequential linking of quantitative mathematical models—pharmacology, pharmacokinetics/pharmacodynamics (PK/PD), disease progression, epidemiology, health utilization, and health economics. In this blog post, we discuss how working with an amazing team of […]

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Topics: Clinical Pharmacology Strategy

Pharmacology to Payer: One Quantitative Drug Development Framework to Rule Them All

Craig Rayner

In JRR Tolkien’s Lord of the Rings, the power of the one ring forged by the evil sorcerer, Sauron, is used to control all of the disaggregated, independent kingdoms of Middle Earth. Similarly, but without the malice, the “pharmacology to the payer” (P2P) quantitative framework can be viewed as a way to unite and connect […]

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Topics: Clinical Pharmacology Strategy

Quantitative Pharmacology Strategies for Pediatric Drug Development

Patrick Smith

Pediatric patients are not simply small adults. Children differ from adults in both disease pathophysiology and pharmacokinetics/pharmacodynamics (PK/PD). Yet historically, 80 percent of medicines used in children had little to no data guiding prescribers on proper use. In this blog post, I’ll discuss the challenges of developing drugs for children and explain how quantitative pharmacology […]

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Topics: Clinical Pharmacology Strategy, PK/PD Modeling & Simulation
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