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

Recruiting

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

Sponsor:

Sue Brown

Code:

NCT06728059

Conditions

Type 1 Diabetes

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Not accepted

Interventions

Automated Insulin Delivery Adaptive NETwork (AIDANET)

AIDANET+ BPS_RL→AIDANET

Study Details

Eligibility Criteria

Study Design

Interventions and Outcome Measures

Central Contacts and Locations

More Information

Trial information was received from ClinicalTrials.gov and was last updated on 2025-06-16. This information was provided to ClinicalTrials.gov by Sue Brown on 2025-05-15.