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PHM SCI 768

PHARMACOKINETICS

3 credits.

Quantitative aspects of drug absorption, distribution, metabolism, and excretion. Philosophy and applications of pharmacokinetic modeling and its use in clinical practice.

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Analyze and interpret pharmacokinetic profiles following different routes of drug administration and differing dosing regimens Audience: Graduate 2. Conduct a noncompartmental pharmacokinetic analysis and interpret resulting pharmacokinetic parameter data in context of fundamental pharmacokinetic principles learned Audience: Graduate 3. Identify the key features of clinical pharmacology studies and how this data will be used to inform drug labeling Audience: Graduate 4. Describe the importance of a statistical analysis plan and implement key information that should be included Audience: Graduate 5. Demonstrate their understanding of pharmacokinetic concepts by application to review, analysis, interpretation and reporting from example clinical study data Audience: Graduate 6. Utilize industry standard software (e.g. Phoenix, R) to review, analyze and report clinical study data Audience: Graduate 7. Identify regulatory requirements for reporting pharmacokinetic data Audience: Graduate 8. Describe population pharmacokinetics and physiologically based pharmacokinetic modeling and demonstrate how these approaches may be used in drug development Audience: Graduate Learning Outcomes: 1. Analyze and interpret pharmacokinetic profiles following different routes of drug administration and differing dosing regimens Audience: Graduate 2. Conduct a noncompartmental pharmacokinetic analysis and interpret resulting pharmacokinetic parameter data in context of fundamental pharmacokinetic principles learned Audience: Graduate 3. Identify the key features of clinical pharmacology studies and how this data will be used to inform drug labeling Audience: Graduate 4. Describe the importance of a statistical analysis plan and implement key information that should be included Audience: Graduate 5. Demonstrate their understanding of pharmacokinetic concepts by application to review, analysis, interpretation and reporting from example clinical study data Audience: Graduate 6. Utilize industry standard software (e.g. Phoenix, R) to review, analyze and report clinical study data Audience: Graduate 7. Identify regulatory requirements for reporting pharmacokinetic data Audience: Graduate 8. Describe population pharmacokinetics and physiologically based pharmacokinetic modeling and demonstrate how these approaches may be used in drug development Audience: Graduate

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