August
Tuesday, August 26, 2025
8:00-9:00am PT
Watch Recording Here
Ivana Maric, PhD
Assistant Professor of Pediatrics
Stanford University
Title: AI for Prediction and Profiling of Maternal and Neonatal Pregnancy Outcomes
Abstract: Every day estimated 800 women and 7000 newborns die from pregnancy-related complications. For many of these complications -- including hypertensive disorders of pregnancy, preterm birth and being born to small – early prediction, prevention and therapy are limited or not known. In this talk, we will present AI methods that can enable early prediction of pregnancies at-risk, identification of biomarkers and better biological profiling of these conditions, and from there, potentially guide early interventions. We will focus on solutions that are applicable worldwide and especially in low-resource settings.
Ivana Maric is an Assistant Professor in the Pediatrics Department at the Stanford University. Her research focuses on applying machine learning and AI to improving maternal and neonatal health. Her main focus has been on developing models for early prediction of pregnancy outcomes that could guide development of low-cost, point of care diagnostic tools applicable globally and especially in low-resource settings. In recognition of her work in this area, she was awarded the Rosenkranz Prize by the Freeman Spogli Institute for International Studies and Stanford Health Policy at Stanford University. She is also a co-recipient of the IEEE Communications Society Best Tutorial Paper Award.