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Training the next generation of pharmacometric modelers: a multisector perspective

Bonate, Peter L; Barrett, Jeffrey S; Ait-Oudhia, Sihem; Brundage, Richard; Corrigan, Brian; Duffull, Stephen; Gastonguay, Marc; ... Zhu, Hao; + view all (2023) Training the next generation of pharmacometric modelers: a multisector perspective. Journal of Pharmacokinetics and Pharmacodynamics , 51 (1) pp. 5-31. 10.1007/s10928-023-09878-4. Green open access

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Abstract

The current demand for pharmacometricians outmatches the supply provided by academic institutions and considerable investments are made to develop the competencies of these scientists on-the-job. Even with the observed increase in academic programs related to pharmacometrics, this need is unlikely to change in the foreseeable future, as the demand and scope of pharmacometrics applications keep expanding. Further, the field of pharmacometrics is changing. The field largely started when Lewis Sheiner and Stuart Beal published their seminal papers on population pharmacokinetics in the late 1970’s and early 1980’s and has continued to grow in impact and use since its inception. Physiological-based pharmacokinetics and systems pharmacology have grown rapidly in scope and impact in the last decade and machine learning is just on the horizon. While all these methodologies are categorized as pharmacometrics, no one person can be an expert in everything. So how do you train future pharmacometricians? Leading experts in academia, industry, contract research organizations, clinical medicine, and regulatory gave their opinions on how to best train future pharmacometricians. Their opinions were collected and synthesized to create some general recommendations.

Type: Article
Title: Training the next generation of pharmacometric modelers: a multisector perspective
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s10928-023-09878-4
Publisher version: https://doi.org/10.1007/s10928-023-09878-4
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: CLINICAL-PHARMACOLOGY, DISCIPLINE, Education, FUTURE, Life Sciences & Biomedicine, Modeling and simulation, PHARMACOKINETICS, Pharmacology & Pharmacy, Pharmacometrics, Science & Technology, SIMULATION, STANDARDS, THERAPEUTICS, TOOLS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Infection, Immunity and Inflammation Dept
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10204113
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