dkNET Webinar "Precision Diabetes: Understanding and Managing Glucose Dysregulation Using Deep Data and Remote Monitoring"

Join dkNET Webinar on Friday, January 23, 2026, 11 am - 12 pm PT

Presenter: Michael Snyder, PhD, Stanford W. Ascherman Professor of Genetics; Director, Stanford Center for Genomics and Personalized Medicine, School of Medicine, Stanford University

Abstract

We use deep data and longitudinal measurements to monitor health which enable both early detection of disease and personal aging patterns (ageotypes). Remote monitoring using devices (e.g smartwatches) and microsampling enables frequent measurements and high resolution health tracking. Using (Continuous Glucose Monitoring (CGM) we demonstrate that individuals have personalized glucose responses to different carbohydrates. We further show that individuals have different subtypes of glucose dysregulation (e.g. muscle insulin resistance, beta cell defect, incretin effects) and that the response and mitigation of the postprandial response depends upon the dysregulation subtype. Association of lifestyle including food, activity and timing are correlated with glucose levels. This information enables personalized management of glucose dysregulation.

The top 3 key questions that these resources can answer:

1. Which types of measurements are most powereful and why?
2. What are the correlations between lifestyle and glucose levels?
3. Where does AI impact diabetes research?

Dial-in Information: https://uchealth.zoom.us/webinar/register/WN_TWuWrDOGRu2LSa2S-gdTgQ

Date/Time: Friday, January 23, 2026, 11 am - 12 pm PT

Upcoming webinars schedule: https://dknet.org/about/webinar