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AI_PREMie: Diagnosing Pre-Eclampsia with AI

  • Challenge:AI for Societal Good Challenge
  • Phase:Special Prize
  • Team Lead:Prof. Patricia Maguire, University College Dublin
  • Team Co-Lead:Prof. Fionnuala Ní Áinle, University College Dublin
  • Societal Impact Champion:Prof. Mary Higgins, National Maternity Hospital
AI_PREMie: Diagnosing Pre-Eclampsia with AI

Preeclampsia is extremely difficult to diagnose and kills 50,000 mothers and 500,000 babies every year. We propose to develop a new test that will help us save the lives of mothers and babies.

Combining the power of machine learning, and cutting-edge omics methodologies, we will develop a new platform for the diagnosis and treatment of preeclampsia. This will be an affordable tool to closely observe pregnancies complicated by preeclampsia and prevent unnecessary adverse outcomes for both mother and baby.

Winner of a special prize in the SFI AI for Societal Good Challenge, team AI_PREMie have discovered the information carried by platelets combined with powerful AI can help doctors diagnose pre-eclampsia.

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