In this session, Professor Dreisbach will introduce the All of Us Research Program and share her research at the intersection of reproductive health and data science. Drawing from her dual background as a labor and delivery nurse and a data scientist, she will explore two critical challenges in healthcare research: the systematic absence of reproductive health variables in biomedical datasets and the outdated clinical measurement tools that impact patient care. Attendees will learn how these gaps affect maternal outcomes, influence clinical decisions, and limit the scope of evidence-based research. 

Whether you're a clinician, researcher, or student, this session will offer actionable insights into how you can access and use the data for your own research. Join us to discover how data science is reshaping reproductive health and how you can be part of the transformation.

Bio: Caitlin Dreisbach, PhD, RN, is an assistant professor at the University of Rochester School of Nursing with an affiliation in the Goergen Institute for Data Science. She is currently a practicing nurse at Strong Memorial Hospital on the high-risk obstetrics unit (3-1200).

Dr. Dreisbach's research focus is on the use of quantitative methods to make better clinical assessments during pregnancy. Further, she is interested in the health of women over the course of their lifetime. This includes how conditions during the periconceptual and pregnancy periods impact short and long-term health.