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

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 s...

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Bibliographic Details
Published in:Clinical infectious diseases Vol. 67; no. suppl_3; p. S267
Main Authors: Gumbo, Tawanda, Alffenaar, Jan-Willem C
Format: Journal Article
Language:English
Published: United States 28.11.2018
Subjects:
Algorithms
Antitubercular Agents - pharmacokinetics
Artificial Intelligence
Drug Discovery
Drug Evaluation, Preclinical
Humans
Monte Carlo Method
Mycobacterium tuberculosis - drug effects
Tuberculosis - drug therapy
Tuberculosis - microbiology
ISSN:1537-6591, 1537-6591
Online Access:Get more information
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Summary: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.
Bibliography:ObjectType-Article-1
content type line 23
SourceType-Scholarly Journals-1
ISSN:1537-6591
1537-6591
DOI:10.1093/cid/ciy608