Pharmacokinetic/Pharmacodynamic Background and Methods and Scientific Evidence Base for Dosing of Second-line Tuberculosis Drugs

Abstract 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-fibe...

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Bibliographic Details
Published in:Clinical infectious diseases 2018-11, Vol.67 (suppl_3), p.S267-S273
Main Authors: Gumbo, Tawanda, Alffenaar, Jan-Willem C
Format: Article
Language:English
Subjects:
Algorithms
Antitubercular Agents - pharmacokinetics
Artificial Intelligence
Drug Discovery
Drug Evaluation, Preclinical
Humans
Monte Carlo Method
Mycobacterium tuberculosis - drug effects
Supplement
Tuberculosis - drug therapy
Tuberculosis - microbiology
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Summary:Abstract 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.
ISSN:1058-4838
1537-6591
DOI:10.1093/cid/ciy608