Clinical Pharmacology Strategy

A Practical Approach to the Challenges of Pediatric Drug Development

Barry Mangum

Drug developers can’t take an adult clinical trial protocol and simply retool it for pediatrics. Yet, in my work at a pediatric clinical research organization (CRO), I frequently see sponsors attempt to do just that. Successfully implementing a pediatric drug development plan poses challenges regarding trial planning, design, and conduct. In this blog post, I’ll […]

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

Trial Simulator Engine (TSE)

Certara’s Trial Simulatior Engine is a tool with a command-line interface that can be used to determine the effects of variability in drug and subject characteristics on the likelihood of trial success. Users can conduct sequential and parallel subject simulations for real-world trial simulations.

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Phoenix Modeling Language School: The Semester in Review

Maria Saluta

Phoenix® WinNonlin® uses Phoenix Modeling Language (PML) to encode pharmacokinetic (PK) and pharmacodynamic (PD) models. Although most models can be built using the Phoenix graphical user interface (GUI), some models require custom coding with PML. During the latter part of 2016, Certara’s support team, led by Dr. Bernd Wendt, Director of Training and Support, introduced […]

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Topics: PK/PD Modeling & Simulation

The European Regulatory Landscape for Pediatric Drug Development

Barry Mangum

In my 35 years of working to develop safer, more effective medications for children, I’ve often been asked about how to navigate the regulatory landscape in the US and Europe. In a previous blog post, I discussed the latest FDA trends regarding pediatric drug development. In this blog, I’ll focus on the path for achieving […]

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

FDA Reauthorization Act (FDARA) Affirms Commitment to Innovative MIDD Strategies

Ellen Leinfuss

Quietly, without any political rancor, the FDA Reauthorization Act of 2017 (FDARA) was passed by the US Congress and was signed into law by President Trump in late August. The FDARA reauthorizes the Prescription Drug User Act Fee Amendments (PDUFA) for the fifth time, the Medical Device User Act Fee Amendments (MDUFA) for the third […]

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Topics: PBPK Modeling & Simulation, PK/PD Modeling & Simulation, Systems Pharmacology

What the FDA Expects from Your Pediatric Drug Program

Barry Mangum

Historically, 80 percent of medicines used in children had little to no data guiding prescribers on proper use. To address this market failure, regulatory legislation for drug development in pediatric patients was passed worldwide over the past decade. The number of drugs tested in and labeled for children has increased dramatically as a result. In […]

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

New FDA Commissioner Endorses Use of M&S to Advance Drug Development

Suzanne Minton

With the swearing in of Dr. Scott Gottlieb as Commissioner of Food and Drugs in May, many have wondered as to the climate he will set for the US FDA. Certara’s mission and business thesis aligns with the FDA’s July 7 announcement regarding the steps it is taking to implement the 21st Century Cures Act. […]

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Topics: Clinical Transparency & Disclosure, Model-based Meta-analysis, PBPK Modeling & Simulation, PK/PD Modeling & Simulation, Regulatory & Medical Writing

Speaking into the Ether: Challenges of the Virtual Pharma Workplace

P Bonate, S Tannenbaum

In today’s global pharma working environment, virtual interactions are sometimes more common than live exchanges. Many people work virtually through teleconferences, video conferences, instant messaging, phone calls, and emails. Through flexible schedules and working remotely, some people spend the majority of their day without seeing or hearing their colleagues. Honing your skills Pharmacometricians are like […]

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Topics: PK/PD Modeling & Simulation

What are Clinical Trial Outcomes Databases? How and Why You Should Use Them

Maria Saluta

Publicly available clinical trial data represents an underutilized source of information. If properly extracted and analyzed, they provide valuable information to support drug development decisions. When you think of the volumes of public information and databases that are available to determine, for example, commercial viability of a therapeutic in development, your first inclination is—“great!” But […]

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Topics: Model-based Meta-analysis, PK/PD Modeling & Simulation
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