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Building efficiency in determining key pharmacokinetic parameters from experimental and clinical data, and enhancing quantitative thinking to predict drug behavior using compartmental models and mathematical principles.
Acquiring clinical problem-solving skills by applying pharmacokinetic principles to design the most suitable drug dosing regimen for each patient, whether for drugs that follow linear or non-linear kinetics.
Explanation of pharmacokinetics principles for drugs following linear or nonlinear kinetics, including clinical implications for dosing and therapeutic drug monitoring.
Knowledge and understanding:
Describe how absorption, distribution, metabolism, and excretion influence drug concentration-time curves and overall drug exposure.
Description of Pharmacokinetic Models and Their Applications.
Distinguishing between linear and nonlinear pharmacokinetics and understanding their practical implications.
Skills:
Calculation of kinetic parameters (linear and non-linear) using data analysis and interpretation (e.g., graph, Area Under the Curve (AUC), slopes, and curve fitting).
Design and justification of optimal drug dosage regimens using different pharmacokinetic models.
Predicting drug concentrations and steady state behavior using pharmacokinetic models.
Values, autonomy, and responsibility:
Demonstrate leadership skills, accountability, and responsibility-taking within the team in diverse contexts.
Demonstrate integrity, reliability, trustworthiness, self-awareness, and entrepreneurial potential in diverse contexts.
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