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Predictive Modeling to Study the Treatment-Shortening Potential of Novel Tuberculosis Drug Regimens, Toward Bundling of Preclinical Data.
Mudde, Saskia E; Ayoun Alsoud, Rami; van der Meijden, Aart; Upton, Anna M; Lotlikar, Manisha U; Simonsson, Ulrika S H; Bax, Hannelore I; de Steenwinkel, Jurriaan E M.
Affiliation
  • Mudde SE; Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Ayoun Alsoud R; Department of Pharmaceutical Biosciences, Uppsala University, Uppsala,Sweden.
  • van der Meijden A; Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Upton AM; Global Alliance for Tuberculosis Drug Development, New York, New York, USA.
  • Lotlikar MU; Global Alliance for Tuberculosis Drug Development, New York, New York, USA.
  • Simonsson USH; Department of Pharmaceutical Biosciences, Uppsala University, Uppsala,Sweden.
  • Bax HI; Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • de Steenwinkel JEM; Department of Internal Medicine, Section of Infectious Diseases, Erasmus University Medical Center, Rotterdam, the Netherlands.
J Infect Dis ; 225(11): 1876-1885, 2022 06 01.
Article in En | MEDLINE | ID: mdl-33606880
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis / Mycobacterium tuberculosis Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Infect Dis Year: 2022 Type: Article Affiliation country: Netherlands
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis / Mycobacterium tuberculosis Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Infect Dis Year: 2022 Type: Article Affiliation country: Netherlands