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P-241 : ‘Augmented intelligence’ to possibly shorten euploid identification time: A human-machine interaction study for euploid identification using ERICA, an Artificial Intelligence software to assist embryo ranking

Researchers

Presenter

  • A Chavez Badiola

Principal Investigators

  • A Flores-Saiffe

  • R Valencia

  • G Mendizabal-Ruiz

  • J Villavicencio

  • D Gonzalez

  • D Griffin

  • A Drakeley

  • J Cohen

Medical Centers

  • University of Liverpool, Liverpool, United Kingdom

  • IVF 2.0 ltd, MLOps, London, United Kingdom

  • New Hope Fertility Center, Clinical Research, Mexico City, Mexico

  • IVFqc, Research & Development, New York, U.S.A

  • IVF 2.0 ltd, MLOps, Guadalajara, Mexico

  • IVF 2.0 ltd, Embryology, New York City, U.S.A

  • University of Kent, School of Bioscience, Canterbury, United Kingdom

  • IVF 2.0 ltd, Research and Development, London, United Kingdom

  • Liverpool Women's Hospital, Hewitt Centre for Reproductive Medicine, Liverpool, United Kingdom

Locations

  • United Kingdom

  • Mexico

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • N/A

Disease

  • N/A

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Cohort

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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