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

Decision Support for Health Professionals (2413) Ontologies, Classifications, and Coding (483) Diabetes (355) Diabetes Prevention (171) Artificial Intelligence in Diabetes Care and Prevention (118) Generative Language Models Including ChatGPT (1700) AI Language Models in Health Care (875)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87374, first published .
Man viewing holographic human body scan on laptop, showing health data

Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study

Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study

Authors of this article:

Qingrui Li1 Author Orcid Image ;   Kapileshwor Ray Amat1 Author Orcid Image ;   Eric L Johnson2 Author Orcid Image ;   Juan Li1 Author Orcid Image
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Journals

  1. Mujahid O, Contreras I, Beneyto A, Vehi J. Retrieval-Augmented Simulation for Interpreting Probabilistic Digital Twins in Type 1 Diabetes. Journal of Diabetes Science and Technology 2026 View