Health Technology/clinical-trials

Completed Trial Tests Machine Learning Bolus Enhancement for Automated Insulin Delivery in Type 1 Diabetes

247 Health News Editorial

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13 June 2026

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3 min read

·clinical-trials

A completed crossover trial tested whether adding machine learning-enhanced bolus priming to automated insulin delivery systems could improve time in range for adults with type 1 diabetes. Results from this 19-participant study could inform the next generation of artificial pancreas technology.

Originally reported by ClinicalTrials.gov

References

  1. 1.Beck, R. W., Bergenstal, R. M., Cheng, P., Kollman, C., Laffel, L. M., Li, Z., ... & Xing, D. (2019). The relationships between time in range, hyperglycemia metrics, and HbA1c. Journal of Diabetes Science and Technology, 13(4), 614-626. https://doi.org/10.1177/1932296818822496
  2. 2.Bekiari, E., Kitsios, K., Thabit, H., Tauschmann, M., Athanasiadou, E., Karagiannis, T., ... & Tsapas, A. (2018). Artificial pancreas treatment for outpatients with type 1 diabetes: systematic review and meta-analysis. BMJ, 361, k1310. https://doi.org/10.1136/bmj.k1310
  3. 3.Boughton, C. K., & Hovorka, R. (2021). Advances in artificial pancreas systems. Science Translational Medicine, 13(599), eabg6279. https://doi.org/10.1126/scitranslmed.abg6279
  4. 4.Brown, S. (2024). Safety and Feasibility of a Machine-Learning Bolus Priming Added to Existing Control Algorithm. ClinicalTrials.gov Identifier: NCT06728059. https://clinicaltrials.gov/study/NCT06728059
  5. 5.Brown, S. A., Kovatchev, B. P., Raghinaru, D., Lum, J. W., Buckingham, B. A., Kudva, Y. C., ... & Dassau, E. (2019). Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes. New England Journal of Medicine, 381(15), 1707-1717. https://doi.org/10.1056/NEJMoa1907863
  6. 6.Sherr, J. L., Tauschmann, M., Battelino, T., de Bock, M., Forlenza, G., Roman, R., ... & Maahs, D. M. (2018). ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies. Pediatric Diabetes, 19(S27), 302-325. https://doi.org/10.1111/pedi.12731
  7. 7.Tauschmann, M., & Hovorka, R. (2018). Technology in the management of type 1 diabetes mellitus—current status and future prospects. Nature Reviews Endocrinology, 14(8), 464-475. https://doi.org/10.1038/nrendo.2018.31
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247 Health News Editorial

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