Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET)
AIDANET AI
2 other identifiers
interventional
50
1 country
1
Brief Summary
Bolus Priming (BP) based on Artificial Intelligence (AI) learning of meal patterns, added to our established Automated insulin delivery as Adaptive Network (AIDANET) algorithm and running on iPhone Diabetes Assistant (iDiAs) phone wirelessly connected to Tandem Mobi insulin pump and Dexcom Continuous Glucose Monitor (CGM).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started May 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 30, 2026
CompletedFirst Posted
Study publicly available on registry
April 8, 2026
CompletedStudy Start
First participant enrolled
May 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
April 30, 2027
April 8, 2026
April 1, 2026
12 months
March 30, 2026
April 3, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Time in Range (TIR) 70-180 mg/dL for 2-week free-living at home periods on AIDANET vs AIDANET AI.
The last two weeks of the 4-week AIDANET AI session will be used for analysis, comparing standard Ambulatory Glucose Profile metrics across AIDANET vs AIDANET AI, with primary outcome TIR (70-180 mg/dL) during the day.
two weeks
Study Arms (2)
GROUP A: 2 weeks HCL, 2 weeks AIDANET, and 4 weeks AIDANET AI
EXPERIMENTALGroup A participants will continue to use their home HCL system for 2 weeks, then switch to AIDANET for two weeks, and the switch to AIDANET AI for another 4 weeks.
GROUP B: 4 weeks AIDANET AI, 2 weeks AIDANET, and 2 weeks HCL
EXPERIMENTALGroup B participants will begin with 4 weeks of AIDANET AI, then switch to AIDANET for 2 weeks and then revert to their home HCL systems for the last 2 weeks of the study
Interventions
During the HCL session, participants will be using their own HCL systems for 2-weeks.
Participant will use the AIDANET algorithm on the Mobi system with the standard Bolus Priming System (BPS) automated bolus that does not require announcement of meals.
Participant will use the AIDANET algorithm with the addition of the Bolus Priming (BP) based on AI learning of meal patterns.
Eligibility Criteria
You may qualify if:
- Age ≥18.0 years old at time of consent
- Clinical diagnosis, based on investigator assessment, of Type 1 Diabetes (T1D) for at least one year.
- Currently using an automated insulin delivery (AID) system.
- 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 live 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 can become pregnant, they must agree to use a form of contraception to prevent pregnancy while a participant in the study. 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, insulin 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.
- 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.
You may not qualify if:
- Plans to start a new non-insulin glucose-lowering agent (e.g., Glucagon-like peptide-1 (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 sodium-glucose transport protein 2 (SGLT-2) or SGLT-1/2 inhibitor due to risk of euglycemic diabetic ketoacidosis (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.
- Unstable 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 2 weeks.
- Planned surgery during the study period that results in prolonged disconnection from study devices.
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Sue Brownlead
- National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)collaborator
- Tandem Diabetes Care, Inc.collaborator
Study Sites (1)
University of Virginia Center for Diabetes Technology
Charlottesville, Virginia, 22903, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Sue Brown, MD
University of Virginia Center for Diabetes Technology
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Study Principal Investigator
Study Record Dates
First Submitted
March 30, 2026
First Posted
April 8, 2026
Study Start
May 1, 2026
Primary Completion (Estimated)
April 30, 2027
Study Completion (Estimated)
April 30, 2027
Last Updated
April 8, 2026
Record last verified: 2026-04