Unpacking the artificial intelligence toolbox for embryo ploidy prediction.

Journal: Human reproduction (Oxford, England)
Published Date: Dec 4, 2023

Abstract

No abstract available for this article.

Authors

  • Munevver Serdarogullari
    Cyprus International University, Faculty of Medicine, Northern Cyprus via Mersin 10, Turkey.
  • George Liperis
    Westmead Fertility Centre, Institute of Reproductive Medicine, University of Sydney, Westmead, NSW, Australia. Electronic address: George.liperis@sydney.edu.au.
  • Kashish Sharma
    HealthPlus Fertility Center, HealthPlus Network of Specialty Centers, Abu Dhabi, United Arab Emirates.
  • Omar F Ammar
    Biomaterials Cluster, Bernal Institute, University of Limerick, Limerick, Ireland.
  • Julia Uraji
    IVF Laboratory, TFP Düsseldorf GmbH, Düsseldorf, Germany.
  • Danilo Cimadomo
    GeneraLife IVF, Clinica Valle Giulia, Rome, Italy. Electronic address: cimadomo@generaroma.it.
  • Alessandra Alteri
    IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Mina Popovic
    EUGIN Group, R&D, Barcelona, Spain.
  • Juan J Fraire-Zamora
    EUGIN Group, R&D, Barcelona, Spain.

Keywords

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