Publications by authors named "Julia A M Ryan"

Article Synopsis
  • Self-monitoring of glucose is crucial for diabetes management, but current methods are often invasive and uncomfortable for users.
  • This study tested a noninvasive glucose monitoring system that uses a wrist-mounted sensor and AI to predict glucose levels from microwave signal variations.
  • Results showed an average predictive accuracy (MARD) of 10.3%, indicating that this new method could potentially rival existing commercial glucose monitoring options, providing a better experience for users.
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