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Clinical Trial

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

NCT: NCT06728059 · COMPLETED

NCT IDNCT06728059
StatusCOMPLETED
Start Date2025-02-05
Completion2025-05-14

Brief Summary

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.

Frequently Asked Questions

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

Safety and Feasibility of a Machine-Learning Bolus Priming Added to Existing Control Algorithm is a clinical trial registered under NCT06728059. Current status: COMPLETED.

What is the status of NCT06728059?

The current status of NCT06728059 (Safety and Feasibility of a Machine-Learning Bolus Priming Added to Existing Control Algorithm) is: COMPLETED.

When did Safety and Feasibility of a Machine-Learning Bolus Priming Added to Existing Control Algorithm start?

Safety and Feasibility of a Machine-Learning Bolus Priming Added to Existing Control Algorithm started on 2025-02-05.

Official Source

View on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.

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