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

Patient Experiences with Diabetes Technology (46) Apps, Mobile, Wearables for Diabetes (362) Glucose Tracking and Self-Monitoring of Blood Glucose (201) Sensors for Glucose Monitoring and Diabetes Management (48) Machine Learning (2068) Clinical Information and Decision Making (1909)

Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67867, first published .
Early Detection of Elevated Ketone Bodies in Type 1 Diabetes Using Insulin and Glucose Dynamics Across Age Groups: Model Development Study

Early Detection of Elevated Ketone Bodies in Type 1 Diabetes Using Insulin and Glucose Dynamics Across Age Groups: Model Development Study

Early Detection of Elevated Ketone Bodies in Type 1 Diabetes Using Insulin and Glucose Dynamics Across Age Groups: Model Development Study

Authors of this article:

Simon Cichosz1 Author Orcid Image ;   Clara Bender1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Ghaderi M, Chitzan-Zadeh K, Mokarami M, Mokarami M, Shokoohi M, Vafa R. Revolutionizing diabetes management: Artificial intelligence (AI) from assessment to advanced monitoring. Next Research 2025;2(3):100472 View
  2. Bergenstal R, Virdi N, Quadri F, Alva S. Monitoring Ketonemia in People with Diabetes: Preliminary Findings from Real-World Studies. Diabetes Technology & Therapeutics 2025;27(S4):S25 View