Actively Recruiting

Phase Not Applicable
Age: 18Years - 65Years
All Genders
NCT07304778

Evaluation of a Mobile AI-powered Decision Support System for Insulin Dosing and Glucose Prediction in Type 1 Diabetes: The glUCModel Clinical Trial Protocol

Led by Universidad Complutense de Madrid · Updated on 2026-01-06

34

Participants Needed

2

Research Sites

46 weeks

Total Duration

On this page

Sponsors

U

Universidad Complutense de Madrid

Lead Sponsor

B

Bioinspired Intelligence SL

Collaborating Sponsor

AI-Summary

What this Trial Is About

The goal of this clinical trial is to evaluate the safety and efficacy of integrating predictive models into insulin therapy management via the user-centered glUCModel mobile app in People with Type 1 Diabetes Mellitus following Multiple Insulin Dosing therapy. Participants will be aged 18 to 65 years. The main questions it aims to answer are: Does using the app improve glycaemic control, as measured by time in range? Does using the app reduce the number of episodes of hyperglycaemia and hypoglycaemia? Are the app's design and functionality adequate? The study will comprise four phases:ses}): * Screening phase: Informed consent, collection of sociodemographic and clinical data, and baseline Pittsburg, IFIS, and DTSQ questionnaires. * Run-in phase: 2 weeks of standard care with CGM. Data will be used to generate personalized predictive models in the intervention group. * Active treatment phase: Participants continue MDI therapy. The intervention group will additionally use the glUCModel mobile app. CGM data from the final 2 weeks will be analyzed. * Evaluation and analysis phase: Participants will complete the uMARS, Pittsburgh, and DTSQ questionnaires. Statistical analysis and correlations among outcomes will be processed.

CONDITIONS

Official Title

Evaluation of a Mobile AI-powered Decision Support System for Insulin Dosing and Glucose Prediction in Type 1 Diabetes: The glUCModel Clinical Trial Protocol

Who Can Participate

Age: 18Years - 65Years
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • HbA1c less than 9%
  • Currently following a multiple daily insulin injections (MDI) Bolus-Basal therapy
  • Using continuous glucose monitors (CGMs) connected to a mobile phone
  • Proficient in Spanish language
  • Willing to participate in the trial
  • Diagnosed with diabetes at least one year ago
  • Able to use a mobile application like glUCModel
  • Own a mobile phone with Android or iOS operating system
  • Able to follow a portion-controlled diet for diabetes
  • Educated to actively manage insulin dosing
Not Eligible

You will not qualify if you...

  • HbA1c 9% or higher
  • Not using continuous glucose monitors (CGMs)
  • Not proficient in Spanish language
  • Diagnosed with diabetes less than one year ago
  • Unable to use a mobile application like glUCModel
  • Unable to follow a portion-controlled diet for diabetes
  • Unable to actively manage insulin dosing
  • Diagnosed with a significant psychiatric disorder
  • Currently undergoing treatment with corticosteroids
  • Hospitalized or had surgery in the last six months
  • Pregnant or planning a pregnancy

AI-Screening

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Trial Site Locations

Total: 2 locations

1

Universidad Complutense de Madrid

Madrid, Madrid, Spain, 280240

Not Yet Recruiting

2

Hospital Universitario de Toledo

Toledo, Toledo, Spain, 45007

Actively Recruiting

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Research Team

I

Ignacio Hidalgo, PhD

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

SINGLE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

HEALTH_SERVICES_RESEARCH

Number of Arms

2

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