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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91724, first published .
Woman monitors glucose levels with smartwatch and CGM sensor while eating healthy bowl

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

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

Franziska Schmelter   1, 2 * , Dr rer nat ;   Xinyu Huang   3 * , Dr-Ing ;   Annika Heidmann   3, 4 , BSc ;   Paul Beier   1, 2 , MSc ;   Friederike Miriam Rundfeldt   1, 2 , MD ;   Christina Plöger   1, 2 , MD ;   Artur Piet   3, 4 , MSc ;   Md Abid Hasan   4, 5 , MSc ;   Yuanheng Zhang   4 , MSc ;   Lennart Jablonski   4 , MSc ;   Oliver Witt   6 , Dr rer nat ;   Torsten Schröder   1, 2, 6 , Dr rer nat Dr med ;   Stefanie Derer   1, 2 , Prof Dr rer nat ;   Chris Easthope Awai   7 , PhD ;   Marcin Grzegorzek   4, 5 * , Prof Dr-Ing ;   Christian Sina   1, 2, 8 * , Prof Dr med

1 Institute of Nutritional Medicine, University of Luebeck, Luebeck, Schleswig-Holstein, Germany

2 University Hospital Schleswig-Holstein, Luebeck, Schleswig-Holstein, Germany

3 expandAI GmbH, Luebeck, Schleswig-Holstein, Germany

4 Institute of Medical Informatics, University of Luebeck, Luebeck, Schleswig-Holstein, Germany

5 German Research Center for Artificial Intelligence (DFKI), Luebeck, Schleswig-Holstein, Germany

6 Research & Development, Perfood Laboratories GmbH, Luebeck, Schleswig-Holstein, Germany

7 Data Analytics & Rehabilitation Technology (DART), Lake Lucerne Institute, Vitznau, Switzerland

8 Khalifa University, Abu Dhabi, United Arab Emirates

*these authors contributed equally

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