AIMI Grand Rounds: AI for Prediction and Profiling of Maternal and Neonatal Pregnancy Outcomes - Dr. Ivana Maric, PhD

The AIMI Grand Rounds, sponsored by the Center for Artificial Intelligence in Medicine and Imaging (AIMI), is a virtual series held on every fourth Tuesday. The series is a crucial initiative for disseminating the latest AI advancements in medicine, aiming to drive transformative innovations in healthcare. Stanford participants of the live event can claim 1.0 CME credits: AMA PRA Category 1 Credits ™ or Non-Physician Participation Credit

Speaker:

Ivana Maric, PhD: Assistant Professor of Pediatrics, Stanford University

Bio: 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.

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.