An artificial intelligence model based on the proteomic profile of euploid embryos and blastocyst morphology: a preliminary study.

Journal: Reproductive biomedicine online
Published Date: Feb 1, 2021

Abstract

RESEARCH QUESTION: The study aimed to develop an artificial intelligence model based on artificial neural networks (ANNs) to predict the likelihood of achieving a live birth using the proteomic profile of spent culture media and blastocyst morphology.

Authors

  • Lorena Bori
    IVI-RMA Valencia, Valencia, Spain. Electronic address: lorena.bori@ivirma.com.
  • Francisco Dominguez
    IVI Foundation, Valencia, Instituto Universitario IVI (IUIVI), Valencia, Spain; Health Research Institute la Fe, Valencia, Spain. Electronic address: Francisco.dominguez@ivirma.com.
  • Eleonora Inácio Fernandez
    Laboratory of Applied Mathematics, Department of Biological Sciences, São Paulo State University (UNESP), Campus Assis, Av. Dom Antônio, São Paulo, 2100, Brazil.
  • Raquel Del Gallego
    IVI Foundation, Valencia, Instituto Universitario IVI (IUIVI), Valencia, Spain.
  • Lucia Alegre
    IVI-RMA Valencia, Valencia, Spain.
  • Cristina Hickman
    AI Team, Apricity, 14 Grays Inn Rd, London WC1 X 8HN, UK.; Institute of Reproductive and Developmental Biology, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0HS, UK.
  • Alicia Quiñonero
    IVI Foundation, Valencia, Instituto Universitario IVI (IUIVI), Valencia, Spain.
  • Marcelo Fábio Gouveia Nogueira
    Universidade Estadual Paulista (Unesp), FCL, Câmpus de Assis, Laboratório de Micromanipulação Embrionária, Assis, SP, Brazil. marcelo@assis.unesp.br.
  • José Celso Rocha
  • Marcos Meseguer
    Instituto Valenciano de Infertilidad (IVI) Valencia, INCLIVA-Universidad de Valencia, Valencia, Spain.

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