Safety and Feasibility of a Machine-Learning Bolus Priming Added to Existing Control Algorithm

NARecruitingINTERVENTIONAL
Enrollment

16

Participants

Timeline

Start Date

February 5, 2025

Primary Completion Date

July 31, 2025

Study Completion Date

July 31, 2025

Conditions
Type 1 Diabetes
Interventions
DEVICE

Automated Insulin Delivery Adaptive NETwork (AIDANET)

Group A participants will use the AIDANET system at home for 7 days/6 nights. They will continue use of AIDANET system for 18 hours during the hotel session and then use AIDANET+BPS\_RL for 18 hours during the hotel session.

DEVICE

AIDANET+ BPS_RL→AIDANET

Group B participant will use the AIDANET+BPS\_RL system for 18 hours during the hotel session and will then use AIDANET system for 18 hours during the hotel session. They will continue to use AIDANET+BPS\_RL system at home for 7 days/6 night and then use the AIDANET system at home for 7 days/6 nights.

Trial Locations (1)

22903

RECRUITING

University of Virginia Center for Diabetes Technology, Charlottesville

All Listed Sponsors
collaborator

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

NIH

collaborator

DexCom, Inc.

INDUSTRY

lead

Sue Brown

OTHER