MedTrace Logo

DECIDE-CV Using AI

NCT05482958 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 210

Last updated 2025-12-17

No results posted yet for this study

Summary

The purpose of this study is to identify digital biomarkers associated with type 2 diabetes mellitus (T2DM) by combining sensor data from a wrist-worn wearable and clinical data. This will be done by recruiting patients with and without diabetes within the cardio-metabolic clinics a the MUHC. Consented patients will be provided with a HOP Technologies (HOP) watch in this project across two observation periods. The Watch-HOP platform facilitates the development of predictive algorithms built with data collected in a clinical setting or at home in a passive (sensors) and active (self-assessments) way. Data from the Watch-Hop will be analyzed using machine learning strategies to determine associations with clinical measures of T2DM.

Conditions

Interventions

DEVICE

HOP watch

A multisensor smartwatch that includes neurophysiological sensors such as heart rate sensor to monitor the vitals of the participant.

Sponsors & Collaborators

  • HOP-Child Technologies Inc

    collaborator UNKNOWN

  • MedTeq

    collaborator INDUSTRY

  • Boehringer Ingelheim

    collaborator INDUSTRY

  • McGill University Health Centre/Research Institute of the McGill University Health Centre

    lead OTHER

Principal Investigators

  • Abhinav Sharma · McGill University Health Centre/Research Institute of the McGill University Health Centre

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-07-29
Primary Completion
2025-09-15
Completion
2025-09-29

Countries

  • Canada

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05482958 on ClinicalTrials.gov