Miniaturized Neural Networks for Deploying Fully Closed Loop Insulin Delivery Systems: A Pilot Study Featuring Flexible Meal Announcement Options

This pilot-feasibility study demonstrates that the AIDANET system provides safe glycemic control. The small sample size (n = 6) limits overall generalizability, and further larger, statistically powered trials to validate these results are warranted.

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Publication Details

Journal
Journal of Diabetes Science and Technology
Published
2025-08-09
DOI
https://doi.org/10.1177/19322968251364283
Citations
3
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
3.88

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article

Miniaturized Neural Networks for Deploying Fully Closed Loop Insulin Delivery Systems: A Pilot Study Featuring Flexible Meal Announcement Options

Chaitanya L.K. Koravi, Elliott C. Pryor, Marcela Moscoso-Vásquez, Anas El Fathi et al.
3 citations
Journal of Diabetes Science and Technology
Diabetes Management and Research
3.88
article

Miniaturized Neural Networks for Deploying Fully Closed Loop Insulin Delivery Systems: A Pilot Study Featuring Flexible Meal Announcement Options

Chaitanya L.K. Koravi, Elliott C. Pryor, Marcela Moscoso-Vásquez, Anas El Fathi, Sara Davis Prince, Viola Holmes, Marc D. Breton, Sue A. Brown, Mark Daniel DeBoer, David Fulkerson
article en
3 citations

Abstract

This pilot-feasibility study demonstrates that the AIDANET system provides safe glycemic control. The small sample size (n = 6) limits overall generalizability, and further larger, statistically powered trials to validate these results are warranted.

Journal of Diabetes Science and TechnologyVol. 19(6)
University of Virginia (US)
Tandem Diabetes Care
Openalex Percentile: Top 6%
Diabetes Management and Research
3.88
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