News

MetrumRG is proud to continue to be an educational resource for our community by offering open, free pharmacometrics training through a variety of mediums. The range of courses and training content, as listed here: metrumrg.com/courses/ includes a series of courses that were intended to progress from introductory through more advanced topics according to "MI" course number, e.g., MI210 (intro to pharmacometrics modeling and simulation) would be completed prior to MI212 (intermediate/advance topics), etc.

We have since added several "special topic" courses. In general, these are likely best done after completing the "MI" courses.

We also encourage individuals to periodically check our github site (github.com/metrumresearchgroup) -- we often post our workshop materials to this site.  For example, the hand-outs/slides for the two workshops we taught at ACoP10 (Fall 2019) have been posted here:

Metrum Research Group's Cellar Office OPen-EDUcation in Pharmacometrics (“COOPED UP”) webinar series will be kicking off next month! These webinars will feature a range of topics, discussed in vignette formats, to share with our community the same training and development in which our staff routinely engages.

The confluence of several factors, including: the growing recognition of the value of quantitative approaches to decision-making in drug development, advancements in numerical methods and analytics, and democratization of modern software engineering, has led to the emergence of multiple pharmacometrics-related software tools, both commercially and publicly licensed. A rigorously managed, high-quality, software development practice is central to reliable and reproducible scientific application and regulatory compliance for these tools. Professional software development best practices should typically be outlined in a Software Development Life Cycle (SDLC) policy or procedure, but the extent of guidance, consistency of methods, adherence to procedures, completeness of quality documentation, and execution rigor vary greatly across software development organizations or teams.

Metrum Research Group scientists participated in the first International Society of Pharmacometrics (ISoP) Regional Quantitative Systems Pharmacology (QSP) Day on July 16, 2019. 

The meeting, which included podium presentations, a poster session, and opportunities for discussion and networking, highlighted several examples of the application of QSP methods in drug development. Particularly notable topics included: the integration of transcriptomics and systems pharmacology models, challenges with calibration of virtual patients in QSP models, and the use of QSP as a scaffold for bridging from well studied therapeutic indications to related but somewhat less understood indications.

Madeleine Gastonguay, of MetrumRG and University of Connecticut, presented the poster "Development of an open-source physiologically-based pharmacokinetic model to predict maternal-fetal exposures of CYP450-metabolized drugs". The open science philosophy, exemplified in this work, resonated with attendees and was also highlighted by several of the conference speakers.

Special thanks goes to the meeting organizers, the ISoP QSP Special Interest Group (ISoP QSP SIG), and hosts, Bristol-Myers Squibb (BMS), for a well organized event and an energizing, thought-provoking day.

Pictures from the event below.

The following is a transcription of Dr. Gastonguay's acceptance speech when presented with the 2018 Bristol-Myers Squibb Mentorship in Clinical Pharmacology Award at the American College of Clinical Pharmacology on September 24, 2018.

Open Science: A Key to the Future Growth of Clinical Pharmacology.

Poster presented by Alanna S. Ocampo-Pelland and Jonathan L. French at ACoP8. See the poster here. 

Slides Available: Dr. Marc Gastonguay's Sheiner Award lecture presented at ACoP8 on October 15, 2017. GastonguayISoPSheinerLecture2017final

Developing quantitative systems pharmacology (QSP) models is hard work, without doubt. Such projects often take months, if not years, and may include extensive experimental contributions and input from numerous discipline experts.