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Identifying predictors of Day 5 blastocyst utilization rate using an artificial neural network.
Serdarogullari, Munevver; Raad, Georges; Yarkiner, Zalihe; Bazzi, Marwa; Mourad, Youmna; Alpturk, Sevket; Fakih, Fadi; Fakih, Chadi; Liperis, George.
Afiliación
  • Serdarogullari M; Cyprus International University, Faculty of Medicine, Northern Cyprus via Mersin 10, Turkey.
  • Raad G; Al Hadi Laboratory and Medical Centre, Beirut, Lebanon; Faculty of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
  • Yarkiner Z; Cyprus International University, Faculty of Arts and Sciences, Department of Basic Sciences and Humanities, Northern Cyprus via Mersin 10, Turkey.
  • Bazzi M; Al Hadi Laboratory and Medical Centre, Beirut, Lebanon.
  • Mourad Y; Al Hadi Laboratory and Medical Centre, Beirut, Lebanon.
  • Alpturk S; Dogus IVF Centre, Nicosia, Cyprus.
  • Fakih F; Al Hadi Laboratory and Medical Centre, Beirut, Lebanon.
  • Fakih C; Al Hadi Laboratory and Medical Centre, Beirut, Lebanon.
  • Liperis G; Westmead Fertility Centre, Institute of Reproductive Medicine, University of Sydney, Westmead, NSW, Australia. Electronic address: George.liperis@sydney.edu.au.
Reprod Biomed Online ; 47(6): 103399, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37862857
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Motilidad Espermática / Inteligencia Artificial Límite: Female / Humans / Male / Pregnancy Idioma: En Revista: Reprod Biomed Online Asunto de la revista: MEDICINA REPRODUTIVA Año: 2023 Tipo del documento: Article País de afiliación: Turquía
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Motilidad Espermática / Inteligencia Artificial Límite: Female / Humans / Male / Pregnancy Idioma: En Revista: Reprod Biomed Online Asunto de la revista: MEDICINA REPRODUTIVA Año: 2023 Tipo del documento: Article País de afiliación: Turquía