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

Glucose Tracking and Self-Monitoring of Blood Glucose (212) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1862) Machine Learning (2327) Artificial Intelligence (2480) Precision Medicine (195) Artificial Intelligence in Diabetes Care and Prevention (71)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79195, first published .
Woman using a glucose meter to check blood sugar levels at home.

Personalized Type 1 Diabetes Management: Reinforcement Learning–Based Insulin Dosing and Glucose Forecasting

Personalized Type 1 Diabetes Management: Reinforcement Learning–Based Insulin Dosing and Glucose Forecasting

Authors of this article:

Ernest M Taku1 Author Orcid Image ;   Vibhuti Gupta2 Author Orcid Image ;   Ashutosh Singhal1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ernest M Taku   1 , BA, MBA ;   Vibhuti Gupta   2 , BS, MS, PhD ;   Ashutosh Singhal   1 , PhD

1 Department of Biomedical Data Science, School of Applied Computational Sciences, Meharry Medical College, Nashville, TN, United States

2 Department of Biostatistics & Data Science, School of Public and Population Health, The University of Texas Medical Branch at Galveston, Galveston, TX, United States

Corresponding Author:

  • Vibhuti Gupta, BS, MS, PhD
  • Department of Biostatistics & Data Science
  • School of Public and Population Health, The University of Texas Medical Branch at Galveston
  • 301 University Boulevard
  • Galveston, TX 77555-1150
  • United States
  • Phone: 1 8065006843
  • Email: vibhgupt@utmb.edu