Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

Back to Studies
COMPLETED
NCT06411548
NA

InsuLearn Feasibility With Type 1 Diabetes Patients Under MDI Therapy

Sponsor: University of Virginia

View on ClinicalTrials.gov

Summary

This is a 24-hour, randomized, crossover, single-center trial where participants are randomized to either start with the InsuLearn intervention or the usual care (UC) intervention. In the InsuLearn intervention, insulin doses are optimized using data collected in a 4-weeks at home data collection period.

Official title: Feasibility of a Bolus Calculator Without Carbohydrate Counting in Type 1 Diabetes Patients Under Multiple Daily Injections (MDI) Therapy: A Supervised Randomized Controlled Trial.

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

7

Start Date

2025-03-27

Completion Date

2025-10-17

Last Updated

2026-05-14

Healthy Volunteers

No

Interventions

DEVICE

InsuLearn

InsuLearn is an artificial intelligence (AI)-algorithm that analyses collected participants data: CGM, insulin, and meal categories to learn the optimal insulin dose. InsuLearn will run offline in a study laptop to generate the optimal insulin dose for each meal category. The algorithm will generate an ambulatory glucose profile (AGP) report with new settings for the InPen™ meal estimation bolus calculator. The study physician will review the report and the algorithm recommendations. The study physician can accept or modify the algorithm recommendations as per his judgment. The new settings will be used during the intervention admission.

Locations (1)

University of Virginia Center for Diabetes Technology

Charlottesville, Virginia, United States