Ph.D., Associate Professor, Stanford
Biography
Nima Aghaeepour is an Associate Professor at Stanford University. His laboratory develops machine learning and artificial intelligence methods to study clinical and biological modalities in translational settings. He is primarily interested in leveraging multiomics studies, wearable devices, and electronic health records to address global health challenges. His work is recognized by awards from numerous national and international organizations including the Bill and Melinda Gates Foundation, the March of Dimes Foundation, the Burroughs Wellcome Fund, the National Institute of General Medical Sciences, and the National Center for Advancing Translational Sciences.
Talk
An AI-Driven Taxonomy for Prematurity
Despite significant investments, preterm birth has remained the single largest cause of death in children under 5 years of age. I will discuss a series of studies using state-of-the-art biological profiling, electronic health records, and artificial intelligence techniques which aim to enable an integrated precision-medicine approach to predict, prevent, and manage preterm births.
Session Abstract – PMWC 2023 Silicon Valley
Track 3 - January 26 9.00 A.M.-4.30 P.M.
Track Co-Chairs:
Linda Giudice, UCSF
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 Stefanick, Stanford (Chronic Disease Prevention) - Marina Sirota, UCSF (Endometriosis) - Stem Cells, Preimplantation and Prenatal Genetics
Chair: Akash Kumar, MyOme, Inc. (Ploygenic risk score)
- 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)
- Precision Health for Mothers and Babies: 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) - Value of Early Risk Prediction, Screening & Digital Intervention in Pre-term birth Avoidance
Chair: Leslie Saltzman, Ovia Health
- Sydney Strickland, Labcorp - Reproductive Aging (PANEL)
Chair: Aleksandar Rajkovic, UCSF
- Diana Laird, UCSF
- Jennifer Garrison, Buck Institute
- Nikolina Lauc, GlycanAge
- Christian Kramme, Gameto - Achieving Equity in Precision Medicine
- Aida Habtezion, Pfizer - Sex Differences
- Noel Bairey Merz, Cedar Sinai (CV disease)
- Danit Ariel, Stanford (Transgender Health and Sex Differences)
- PMWC Showcase:
- Amrie Grammer, Ampel Bio Solutions
