
Pharmacometrics, the mathematical approaches to describe the transfer of drug through different biological compartments, are essential tools in clinical pharmacology research. The ethical necessity to study drugs accurately in the populations where they are to be used is increasingly recognized. To maximise the value of clinical data, study design and analysis must be appropriate. Historically, many datasets have been sent from African countries to better-resourced settings for analysis, but in recent years it has been demonstrated that capacity can be built and sustained within low and middle-income countries (LMIC)3. We report the establishment of the Uganda Chapter of Pharmacometrics Africa, to share learning with other countries seeking to build similar capabilities.
Statistics and Probability, Medical education, Physiology, FOS: Political science, Immunology, FOS: Law, Immunogenicity of Biosimilar Therapeutics in Drug Development, Engineering ethics, Engineering, Health Sciences, FOS: Mathematics, Humans, Uganda, Pharmacokinetic/Pharmacodynamic Modeling, Political science, Immunology and Microbiology, FOS: Clinical medicine, Laboratory Medicine and Testing Procedures, Life Sciences, Mentorship, Computer science, Process (computing), Operating system, FOS: Biological sciences, Pharmacology, Clinical, Physical Sciences, Commentary, Medicine, Excellence, Law, Statistical Methods in Clinical Trials and Drug Development, Mathematics
Statistics and Probability, Medical education, Physiology, FOS: Political science, Immunology, FOS: Law, Immunogenicity of Biosimilar Therapeutics in Drug Development, Engineering ethics, Engineering, Health Sciences, FOS: Mathematics, Humans, Uganda, Pharmacokinetic/Pharmacodynamic Modeling, Political science, Immunology and Microbiology, FOS: Clinical medicine, Laboratory Medicine and Testing Procedures, Life Sciences, Mentorship, Computer science, Process (computing), Operating system, FOS: Biological sciences, Pharmacology, Clinical, Physical Sciences, Commentary, Medicine, Excellence, Law, Statistical Methods in Clinical Trials and Drug Development, Mathematics
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