AI Bolus Priming for Type 1 Diabetes
(AIDANET AI Trial)
What You Need to Know Before You Apply
What is the purpose of this trial?
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).
Who Is on the Research Team?
Sue Brown, MD
Principal Investigator
University of Virginia Center for Diabetes Technology
Are You a Good Fit for This Trial?
Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants are randomized into two groups to test different insulin delivery systems over 8 weeks
Follow-up
Participants are monitored for safety and effectiveness after treatment
What Are the Treatments Tested in This Trial?
Interventions
- AIDANET AI
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Group 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
Group 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.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Sue Brown
Lead Sponsor
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Collaborator
Tandem Diabetes Care, Inc.
Industry Sponsor
Unbiased Results
We believe in providing patients with all the options.
Your Data Stays Your Data
We only share your information with the clinical trials you're trying to access.
Verified Trials Only
All of our trials are run by licensed doctors, researchers, and healthcare companies.