NONMEM
NONMEM is a distinguished software package primarily used for population pharmacokinetic modeling. Originally developed in the late 1970s by renowned figures, Stuart L. Beal and Lewis B. Sheiner, at the University of California, San Francisco (UCSF), its importance has grown considerably over the years. NONMEM stands for Non-Linear Mixed Effects Modeling and is often considered the "gold standard" in its field.
History[edit | edit source]
Developed in the late 1970s, NONMEM was a pioneering effort by Stuart L. Beal and Lewis B. Sheiner at the esteemed UCSF. Their goal was to provide researchers and professionals with a robust tool that could handle the complexities of population pharmacokinetic modeling.
Functionality and Use[edit | edit source]
At its core, NONMEM assists in the evaluation of pharmacokinetic data through the application of non-linear mixed effects modeling. This involves taking both fixed and random effects into account to obtain population parameters, inter-individual variability, and residual variability. The software package allows for the assimilation and analysis of data from a wide range of sources and populations, enabling researchers to derive valuable insights.
Relevance in Pharmacokinetics[edit | edit source]
NONMEM's ability to efficiently analyze and interpret complex pharmacokinetic data has earned it the title of "gold standard". Both in academia and the pharmaceutical industry, the software is heavily relied upon for its accuracy and versatility. From drug development to optimizing therapeutic strategies, NONMEM plays an indispensable role in modern pharmacology.
See Also[edit | edit source]
References[edit | edit source]
- Beal, S.L., and Sheiner, L.B. "NONMEM User's Guide". UCSF, 1980.
- Johnson, P. "Modern Approaches in Pharmacokinetics: The Role of NONMEM". Journal of Clinical Pharmacology, 1995.
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