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Author

F. Schmelter

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Open access Sep 2026

Noninvasive Interstitial Glucose Estimation Using Wearables and Machine Learning in Healthy Individuals and Individuals With Obesity: Observational Cohort Study

This study demonstrates that IG levels can be predicted from multimodal, noninvasive wearable sensor data using a machine learning approach under real-world conditions, a promising step toward accessible, personalized glycemic monitoring and dietary guidance as a preventive tool in mobile health apps.

F. Schmelter, Xin-Yu Huang, Annika Heidmann et al. · 0 citations

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