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Pharmacokinetics is based on mathematical modeling that places great emphasis on the relationship between drug plasma concentration and the time elapsed since the drug's administration. Pharmacokinetics is the study of how an organism affects the drug, whereas pharmacodynamics (PD) is the study of
The use of trapezoidal rule in AUC calculation was known in literature by no later than 1975, in J.G. Wagner's Fundamentals of Clinical Pharmacokinetics. A 1977 article compares the "classical" trapezoidal method to a number of methods that take into account the typical shape of the concentration plot, caused by first-order kinetics. [8]
In pharmacokinetics, the drug accumulation ratio (R ac) is the ratio of accumulation of a drug under steady state conditions (i.e., after repeated administration) as compared to a single dose. The higher the value, the more the drug accumulates in the body.
Pages in category "Pharmacokinetics" The following 78 pages are in this category, out of 78 total. ... Statistics; Cookie statement; Mobile view ...
Pharmacokinetics simulation gives an insight to drug efficacy and safety before exposure of individuals to the new drug that might help to improve the design of a clinical trial. Pharmacokinetics simulations help in addition in therapy planning, to stay within the therapeutic range under various physiological and pathophysiological conditions ...
The first pharmacokinetic model described in the scientific literature [2] was in fact a PBPK model. It led, however, to computations intractable at that time. The focus shifted then to simpler models, [3] for which analytical solutions could be obtained (such solutions were sums of exponential terms, which led to further simplifications.)
In pharmacology, clearance is a pharmacokinetic parameter representing the efficiency of drug elimination. This is the rate of elimination of a substance divided by its concentration. [1]
Explore the concept of PK/PD models, which integrate pharmacokinetics and pharmacodynamics to optimize drug dosing and efficacy.