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12th July 2023

AI, Big Data, and Pregnancy Loss

Innovative strategies and new research targeting prevention of pregnancy loss will be discussed, as well as the potential of AI to support monitoring and management of pregnancy.

  • About
  • Workshop Report

This workshop will be an interactive event, featuring:

  • Presentations from clinicians working in perinatal care and in maternity wards of the hospitals.
  • Representatives from the private sector developing AI-based technologies.
  • Scientists working with big omic data for perinatal health.
  • AI methodologies developing innovative algorism for prediction of adverse pregnancy outcomes.
  • Parents who lost their babies due to stillbirth or miscarriage.

ORGANISERS

Professor Inga Prokopenko, School of Biosciences and Medicine, University of Surrey

Dr Yevheniya Sharhorodska, IAS Fellow, Institute of Hereditary Pathology of National Academy of Medical Sciences of Ukraine

Dr Adam Mahdi, School of Biosciences and Medicine, University of Surrey

Dr Ayse Demirkan, School of Biosciences and Medicine, University of Surrey

KEYNOTE SPEAKERS

Prof Ranjit Akolekar, Medway NHS Foundation Trust, UK

Muhammad Awais, AI institute, University of Surrey

Dr Ayse Demirkan, University of Surrey, UK

Dr Joe Foster, Lifebit, UK

Natalia Pervjakova, Institute of Genomics University of Tartu, Estonia

Dr Yevheniya Sharhorodska, IAS Fellow, University of Surrey

Dr Julia Zöllner, University College London

Workshop Report

The report for this workshop is available to download below.

get_appDownload Report
Venue

Innovation for Health Building, Room 02 IFH 01

Academic Contact

Professor Inga Prokopenko

Administrative Contact

Mrs Inna Trush

Programme

get_appEvent Programme

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