Speaker Profile

Ph.D., Senior Research Scientist, Stanford University

Biography
Dr. Ivana Maric is a Senior Research Scientist at the Prematurity Research Center at Stanford University, School of Medicine. Her research focus is on applying machine learning to improving maternal and perinatal health. She is a co-recipient of the 2021 Rosenkranz Prize and the 2013 IEEE Communications Society Best Tutorial Paper Award.

Talk
Machine Learning for Early Prediction of Pregnancy-Related Outcomes
More than 800 women worldwide die from pregnancy-related causes every day. The complexity of adverse outcomes such as preeclampsia and preterm birth makes their early prediction difficult. We present a machine learning methodology that, by analyzing large omics and EHR data can identify a handful of predictive biomarkers ultimately leading to a simple diagnostic tool.


 Session Abstract – PMWC 2023 Silicon Valley

Track 3 - January 26 9.00 A.M.-4.15 P.M.


Track Co-Chairs:
Yoel Sadovsky, UPMC

Researchers have long been recognizing the uniqueness of women’s health and its substantial effect on clinical practice, acknowledging the increasing appreciation of the importance of multidisciplinary approaches to health and disease. In every organ system, there are diseases that are unique to women, more common in women than in men, or characterized by differences in disease course in women compared to men. This Track will focus on the following topics related to Women’s Health:

  • PMWC 2023 Award Ceremony:
    Pioneer Honoree: Marcia Stefanick, Stanford
  • Chronic Diseases in Women
    - Marcia Stefanik, Stanford (Chronic Disease Prevention) - Linda Giudice, UCSF (Endometriosis)
  • Stem Cells, Preimplantation and Prenatal Genetics
    Chair: Akash Kumar, MyOme, Inc. (Ploygenic risk score)
    - Vitorio Sebastiano, Stanford (Stem cells and fertility)
    - Teresa Sparks, UCSF (Prenatal genetic diagnosis)
    - Nathan Treff, Genomic Prediction (Reducing polygenic disease risk through embryo selection)
  • Precision Health for Mothers and Babies
    Chair: David Stevenson, U. of Stanford (Introduction: Towards Precision Health for Mothers and Babies)
    - Aleks Rajkovic, UCSF (Genomics of Pregnancy Loss)
    - Ivana Maric, Stanford (ML for Early Prediction)
    - Nima Aghaeepour, Stanford (AI-Driven Prematurity Taxonomy)
  • Components of Pregnancy Health
    Chair: Yoel Sadovsky, U. of Pittsburgh (Placental Health)
    - Marina Sirota, UCSF (Leveraging Molecular and Clinical Data)
    - Brice Gaudilliere, Stanford (Multiomic immune profiling)
  • Reproductive Aging (PANEL)
    Chair: Aleksandar Rajkovic, UCSF
    - Diana Laird, UCSF
    - Nikolina Lauc, GlycanAge
    - Dina Radenkovic, Gameto
  • Achieving Equity in Precision Medicine
    - Aida Habtezion, Pfizer
  • Sex Differences
    - Noel Bairey Merz, Cedar Sinai (CV disease)
    - Danit Ariel, Stanford (Bone Health)
  • Value of Early Risk Prediction, Screening & Digital Intervention in Pre-term birth Avoidance
    Chair: Leslie Saltzman, Ovia Health
    - Sydney Strickland, Labcorp