Publications by authors named "Maya McDonald"
J Diabetes Sci Technol
September 2024
Article Synopsis
- Continuous glucose monitoring (CGM) systems can track how food affects blood sugar levels, but current methods require manual meal logging which limits their use for personalized nutrition and diabetes risk assessment.
- A new machine learning framework was developed to automatically analyze glucose responses to breakfast for adults with or at risk for type 2 diabetes, using data from a study with both healthy individuals and those with diabetes.
- The machine learning model demonstrated accurate estimations of blood sugar responses, suggesting it could enhance the effectiveness and scalability of CGM applications in managing glucose levels and personalizing dietary advice.
