Population pharmacokinetic and machine learning methods to increase precision of adherence assessments for HIV prevention
Adherence to a prescribed medication regimen is an important consideration in both clinical trial conduct and real-world treatment plans, and it is increasingly evident that adherence predicts better treatment outcomes. Adequate adherence is the determining factor of treatment efficacy for HIV pre-exposure prophylaxis with daily tenofovir disoproxil fumarate/emtricitabine (F/TDF), and objective and precise methods to assess adherence are therefore needed. A previous study evaluated the pharmacokinetics and dose proportionality of tenofovir-diphosphate, the active intracellular anabolite of ...
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