Last reviewed · How we verify

NCT06728059: AIDANET+BPS_RL

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

Recruiting now NA Last updated 15 May 2025
What this trial tests

NA trial testing Automated Insulin Delivery Adaptive NETwork (AIDANET) in Type 1 Diabetes in 16 participants. Currently enrolling.

Timeline
5 February 2025
Primary endpoint
31 July 2025
31 July 2025

Quick facts

Lead sponsorSue Brown
PhaseNA
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationrandomized
Designcrossover
Maskingnone
Primary purposetreatment
Enrollment16
Start date5 February 2025
Primary completion31 July 2025
Estimated completion31 July 2025
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Sue Brown

Who can join

18 and older, any sex, with Type 1 Diabetes. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

Verify or expand the search:

Other recruiting trials for Type 1 Diabetes

Currently open trials in the same condition.

Other Sue Brown trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06728059.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing