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Longitudinal study of the vaginal microbiome in pregnancies involving preterm labor.
Sakabe, Yoshiko; Nishizawa, Haruki; Kato, Asuka; Noda, Yoshiteru; Ohwaki, Akiko; Yoshizawa, Hikari; Kato, Takema; Sekiya, Takao; Fujii, Takuma; Kurahashi, Hiroki.
Afiliación
  • Sakabe Y; Department of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
  • Nishizawa H; Division of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, Japan.
  • Kato A; Department of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
  • Noda Y; Division of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, Japan.
  • Ohwaki A; Department of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
  • Yoshizawa H; Division of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, Japan.
  • Kato T; Department of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
  • Sekiya T; Division of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, Japan.
  • Fujii T; Department of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
  • Kurahashi H; Division of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, Japan.
Fujita Med J ; 8(3): 96-101, 2022 Aug.
Article en En | MEDLINE | ID: mdl-35949516
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Fujita Med J Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Japón
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Fujita Med J Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Japón