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OpenTrials
Completed

NCT Number: NCT06728059

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

A randomized crossover trial assessing glycemic control using Reinforcement Learning trained Bolus Priming System (BPS_RL) added to the the Automated Insulin Delivery as Adaptive NETwork (AIDANET algorithm) compared to the original AIDANET algorithm.

Completed

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University of Virginia Center for Diabetes Technology

Charlottesville, Virginia, 22903, United States

About this study

After receiving training on the study equipment, participants will use the AIDANET system at home for 7 days/6 nights to establish a baseline and initialize the control algorithm. Participants will then be studied at a hotel session for 3 days/2 nights. Participants will transition to home use of AIDANET+ BPS_RL for 7 days/6 nights.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age ≥18.0 years old at time of consent
  • Clinical diagnosis, based on investigator assessment, of Type 1 Diabetes for at least one year.
  • Having used an AID system equipped with Dexcom G6 or G7 CGM within the last three months (does not need to be continuous use if CGM was unavailable for instance).
  • Currently using insulin for at least six months.
  • Willingness to switch to use a commercially approved personal insulin (e.g., lispro or aspart, or biosimilar approved products) within the study pump as directed by the study team.
  • Has one or more supportive companions knowledgeable about emergency procedures for severe hypoglycemia and able to contact emergency services and study staff that either lives with participant or located within approximately 30 minutes of participant and able to locate participant in the event of an emergency.
  • Participant not currently known to be pregnant or breastfeeding.
  • If participant capable of becoming pregnant, must agree to use a form of contraception to prevent pregnancy while a participant in the study (e.g. hormonal contraception, abstinence from heterosexual intercourse). A negative serum or urine pregnancy test will be required for all females of childbearing potential. Participants who become pregnant will be discontinued from the study. Also, participants who during the study develop and express the intention to become pregnant within the timespan of the study will be discontinued.
  • Willingness to use the study AIDANET system (CGM, pump, and phone) during the study period.
  • Willingness not to start any new non-insulin glucose-lowering agent during the course of the trial.
  • Willingness to participate in all study procedures including the house/hotel sessions.
  • Access to internet at home and willingness to upload data during the study as needed.
  • Investigator has confidence that the participant can successfully operate all study devices and is capable of adhering to the protocol.
  • Participant is proficient in reading and writing English.

Exclusion criteria

  • Plans to start a new non-insulin glucose-lowering agent (e.g., GLP-1 receptor agonists, Symlin, DPP-4 inhibitors, sulfonylureas). Participants may be on a stable dose of such an agent for at least the past month.
  • Current use of an SGLT-2 or SGLT-1/2 inhibitor due to risk of euglycemic DKA.
  • Hemophilia or any other bleeding disorder.
  • History of severe hypoglycemic events with seizure or loss of consciousness in the last 12 months.
  • History of DKA event in the last 12 months.
  • Stage 4 chronic renal disease or currently on peritoneal or hemodialysis.
  • Currently being treated for adrenal insufficiency.
  • Currently being treated for a seizure disorder.
  • Hypothyroidism or hyperthyroidism that is not adequately treated.
  • Use of oral or injectable steroids at the time of enrollment or within the last 4 weeks.
  • Planned surgery during the study period.
  • Known ongoing adhesive intolerance that is not well managed.
  • A condition, which in the opinion of the investigator or designee, would put the participant or study at risk.
  • Participation in another interventional trial at the time of enrollment.
  • Participant with a direct supervisor involved in the conduct of the trial.

Treatment and study plan

Automated Insulin Delivery Adaptive NETwork (AIDANET)

Device

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.

Other names: AIDANET→AIDANET+ BPS_RL

AIDANET+ BPS_RL→AIDANET

Device

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.

Other names: Group B

Primary outcomes

  1. CGM-measured Time in Range (TIR, 70-180 mg/dL) During the 18-hour Hotel Sessions.

    Time frame: 36 hours total (18 hours for Group A and 18 hours for Group B)

    CGM-measured time in range (TIR, 70-180 mg/dL) during the 18-hour hotel sessions on AIDANET or AIDANET+BPS_RL. The time periods begin at 6 PM and end at noon on the next day, thereby covering two meals - dinner and breakfast.

Secondary outcomes

  1. CGM-measured Time Below Range <70mg/dL During Hotel Session

    Time frame: 18 hours

    CGM-measured Time below range <70mg/dL during the 18-hour hotel session on AIDANET or AIDANET+BPS_RL

  2. CGM-measured Time in Range (70-180 mg/dL) for At-home

    Time frame: 7 days

    CGM-measured Time in range (70-180 mg/dL) for at-home sessions using AIDANET

  3. CGM-measured Time Below Range 70 mg/dL for At-home

    Time frame: 1 week

    CGM-measured Time below range 70 mg/dL for at-home sessions using AIDANET or AIDANET BPS-RL

Sponsors and collaborators

Lead sponsor

Sue Brown

Other

Collaborators

  • DexCom, Inc.
  • National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

Registry information

Acronym: AIDANET+BPS_RL

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Dec 11, 2024
Registry last updated
May 28, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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