A Performance-Based Adaptation Index for Automated Insulin Delivery Systems

In-silico results demonstrated the safety and efficacy of using PAI to automatically tune the UVA-MPC controller, achieving TIR values above 70% under fully closed-loop conditions and across various physiological states. Clinical validation of these results is warranted.

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Publication Details

Journal
Journal of Diabetes Science and Technology
Published
2025-02-05
DOI
https://doi.org/10.1177/19322968251315499
Citations
5
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
6.47
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article

A Performance-Based Adaptation Index for Automated Insulin Delivery Systems

Elliott C. Pryor, Patricio Colmegna, Jenny L. Diaz C., Marc D. Breton
5 citations
Journal of Diabetes Science and Technology
Diabetes Management and Research
6.47
article

A Performance-Based Adaptation Index for Automated Insulin Delivery Systems

Elliott C. Pryor, Patricio Colmegna, Jenny L. Diaz C., Marc D. Breton
article en
5 citations

Abstract

In-silico results demonstrated the safety and efficacy of using PAI to automatically tune the UVA-MPC controller, achieving TIR values above 70% under fully closed-loop conditions and across various physiological states. Clinical validation of these results is warranted.

Journal of Diabetes Science and Technology
Dexcom (United States) (US), Insulet (United States) (US), University of Virginia (US)
Openalex Percentile: Top 4%
Diabetes Management and Research
6.47
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