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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-33606880

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tuberculosis / Mycobacterium tuberculosis Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Infect Dis Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tuberculosis / Mycobacterium tuberculosis Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Infect Dis Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos