DM in Pregnancy and AI - Ben Smarr Ph.D. and Sandy Ramos M.D.

Continuous glucose monitoring and wearable data are changing how researchers study pregnancy and women’s health. Gladys (Sandy) Ramos, M.D., explains why glucose control is difficult during pregnancy and how CGM can reveal patterns that finger-stick testing may miss. She also describes research on CGM use in type 2 and gestational diabetes, labor, and behavior change. Ben Smarr, Ph.D., shows how wearable data can track changes in temperature, heart rate, activity, respiration, menstrual cycles, pregnancy, and aging. Together, the speakers discuss personalized care, participant engagement, patient-driven innovation, and access to these tools. The goal is to learn from continuous data while recognizing limits in evidence, interpretation, and equity. Series: "Motherhood Channel" [Health and Medicine] [Show ID: 41636]