Pediatric Grand Rounds: AI-Powered Integration of Omics and EHRs for Perinatal Health

AI-Powered Integration of Omics and EHRs for Perinatal Health

SPEAKER
Nima Aghaeepour, PhD
Associate Professor, Pediatrics, Neonatal and Developmental Medicine
Stanford School of Medicine

SESSION DESCRIPTION
Artificial intelligence offers a powerful new lens to bridge the longstanding divide between biology and medicine, and between maternal and child health. Pregnancy and early life are shaped by dynamic, interconnected biological processes and complex clinical environments—yet data across these domains have traditionally remained siloed. In this presentation, we will describe our work developing AI systems that integrate multi-omics, wearable data, and electronic health records to model and modulate pregnancy and neonatal outcomes. These include foundation models that connect clinical and biological data modalities, as well as AI-driven strategies to personalize neonatal nutrition with an emphasis on long-term health. By unifying biological insights with clinical decision-making, we aim to advance a precision medicine paradigm for mothers and their children.

EDUCATION GOALS

• Use of AI/ML to bridge maternal and child health.
• Use of AI/ML to bridge medical and biological data.
• Integration of biological data with wearable devices.
   

LOCATION (in-person)
Center for Academic Medicine, Grand Rounds Room
453 Quarry Road,
Palo Alto, CA 94304

ZOOM INFORMATION
Register to attend this session via Zoom here.

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CME ACCREDITATION
CME credit will not be offered for this session due to a financial relationship that could not be mitigated per ACCME guidelines.