Reproducibility of Results, Safety Issues
Conditions
Brief summary
The study considers a cross-validation approach to determine the effectiveness of a non-invasive comprehensive metabolic panel (NICMP), relative to the venipuncture method. The NICMP machine learned powered device utilizes a light sensor to capture readings from either palm. The study (n=90) proves an agreement and strong correlation with respect to the NICMP and venipuncture blood draw.
Interventions
The device utilizes spectroscopy and machine learning to detect metabolic analyte concentrations.
Sponsors
Study design
Eligibility
Inclusion criteria
* Undiagnosed population
Exclusion criteria
* Diagnosed population, pregnant women, mental heath/disabled, prisoners, fetus or deceased
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Performance of Non-Invasive Comprehensive Metabolic Panel | 2-minutes | Determine the effectiveness, in terms of accuracy, of the NICMP against the venipuncture CMP (i.e. reference value). |
Countries
United States