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

Healthy Clinical Trial

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

Clinical Trial 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.

Clinical Trial 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 ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06406075
Study type Interventional
Source Spiden AG
Contact
Status Enrolling by invitation
Phase N/A
Start date January 29, 2024
Completion date October 31, 2024
View Details
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