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Center for Computational and Digital Health Innovation

Diabetes Watch: Tuning Into Your Body’s Sweet Signals

The BIG IDEAs Lab leverages physiological data from digital health technologies for glycemic health evaluation.

Lead PI:

  • Jessilyn Dunn

Center Researchers:

    Related Publications

    • Assessment of ownership of smart devices and the acceptability of digital health data sharing
    • Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches
    • Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept

    In the News:

      Funding:

      • NIH NIDDK R01

      The Challenge

      Over 47% of U.S. adults have prediabetes (PD) or type 2 diabetes (T2D), yet 84% of PD cases and 21% of T2D cases remain undiagnosed, contributing to severe health and economic burdens. Current screening guidelines are underutilized, leaving millions unaware of their condition.

      Our Solution

      Smart devices, such as smartwatches, offer a scalable, non-invasive solution by continuously capturing physiological and behavioral data linked to glycemic health. This research aims to harness wearable-based digital biomarkers to improve early detection of PD and T2D, enabling timely interventions that could prevent or even reverse disease progression.

      Infographic showing objectives of the research

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