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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.

The Challenge: 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. 

The Solution: 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.

UN SDG Alignment: GOAL 3: Good Health and Well-being

Team: Prof Patricia Maguire (UCD), Prof Fionnuala Ní Áinle (UCD), Prof Mary Higgins (National Maternity Hospital) 

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In this image there are four woman, they seem interested in a graphic with one of the woman are pointing at.
Dr Paulina Szklanna, Prof Fionnuala Ní Áinle, Prof Patricia Maguire and Prof Mary Higgins

Science to the Rescue

AI_PREMie featured as part of the Science to the Rescue online series. Watch the webisode:

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