Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Jan 19, 2026
Date Accepted: Jul 7, 2026

The final, peer-reviewed published version of this preprint can be found here:

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

Schmelter F, Huang X, Heidmann A, Beier P, Rundfeldt FM, Plöger C, Piet A, Hasan MA, Zhang Y, Jablonski L, Witt O, Schröder T, Derer S, Awai CE, Grzegorzek M, Sina C

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

JMIR Mhealth Uhealth 2026;14:e91724

DOI: 10.2196/91724

PMID: 42814917

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

PDF not available

Per the author's request this version is not available.