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This paper is in the following e-collection/theme issue:

Reviews on Diabetes Technologies and Innovations (103) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2433) Glucose Tracking and Self-Monitoring of Blood Glucose (248) Apps, Mobile, Wearables for Diabetes (451) Telemedicine for Diabetes (152) Diabetes Self-Management (734) Data Science (722)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91729, first published .
Laptop screen displays a digital human body with health data visualizations.

Data, Process, and Data-Driven Representations of Digital Twins in Diabetes: Scoping Review

Data, Process, and Data-Driven Representations of Digital Twins in Diabetes: Scoping Review

Authors of this article:

Beyza Cinar1 Author Orcid Image ;   Louisa van den Boom2 Author Orcid Image ;   Maria Maleshkova1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Beyza Cinar   1 * , MSc ;   Louisa van den Boom   2 * , Dr med ;   Maria Maleshkova   1 * , Prof Dr

1 Professorship of Data Engineering, Helmut Schmidt University, Hamburg, Hamburg, Germany

2 Department of Neonatology, Clinic for Pediatric and Adolescent Medicine, Helios Klinikum Gifhorn GmbH, Gifhorn, Germany

*all authors contributed equally

Corresponding Author:

  • Beyza Cinar, MSc
  • Professorship of Data Engineering
  • Helmut Schmidt University
  • Holstenhofweg 85
  • Hamburg, Hamburg 22043
  • Germany
  • Phone: 49 17632046601
  • Email: cinarb@hsu-hh.de