A World Health Organization workshop systematically examined the evidence base for dosing second-line tuberculosis drugs, identifying knowledge gaps. To fill these in, pharmacokinetics/pharmacodynamics, Monte Carlo experiments, and artificial intelligence algorithms were used in hollow-fiber model studies and clinical data analyses.
CITATION STYLE
Gumbo, T., & Alffenaar, J. W. C. (2018). Pharmacokinetic/Pharmacodynamic Background and Methods and Scientific Evidence Base for Dosing of Second-line Tuberculosis Drugs. Clinical Infectious Diseases, 67, S267–S273. https://doi.org/10.1093/cid/ciy608
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