NCT06406075

Non-invasive Measurement of Glucose with Advanced Spectroscopy Techniques and Machine Learning Models

A Pilot Study to Assess the Ability of Advanced Spectroscopy Techniques and Machine Learning Models to Non-invasively Measure Glucose Robustly and Accurately

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 43 (actual)
• Sponsor: Liom Health AG · Industry
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Accepted

Summary

Primary aim of this pilot study is to provide evidence for a non-invasive, continuous, and transcutaneous measurement method to determine blood glucose levels robustly and accurately.

Detailed description

The study is divided into 3 sub-studies focusing on * Interchangeability of Lab demo 1.0 * Evaluation of advanced spectroscopy methods and their miniaturisation potential * Robustness of machine learning model to changes over time

Conditions

• Healthy

Interventions

Type	Name	Description
DEVICE	Lab demo 1.0	During the intervention, transcutaneous spectral data are collected continuously with the Lab demo. Up to 20 whole blood glucose reference values are also collected, as well as interstitial fluid glucose values using a continuous glucose monitoring device. Some participants will attend multiple measurement sessions.

Timeline

• Start date: 2024-01-29
• Primary completion: 2024-10-25
• Completion: 2024-10-25
• First posted: 2024-05-09
• Last updated: 2025-03-10

Locations

1 site across 1 country: Switzerland