Clinical Trial

Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water

Study acronym: ValiDLW
Recruiting
View on ClinicalTrials.gov →
Summary
The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total daily energy expenditure (TDEE) in individuals with general movement and functional limitations.
Protocol Amendment History 4 amendments
This ClinicalTrials.gov record has been amended 4 times since 2023-02-15; most recent amendment 2026-04-27.
Status change: Not Yet Recruiting → Recruiting 2023-05-08
Trial Details
NCT Number NCT05736302
Lead Sponsor University of Wisconsin, Milwaukee
Collaborators: University of Colorado, Denver, University of Massachusetts, Amherst, National Cancer Institute (NCI)
Conditions Movement Disorders, Energy Metabolism
Enrollment 125 participants
Start Date 2023-03-14
Primary Completion 2026-08-28 (estimated)
Study Completion 2026-12-31 (estimated)
Updated on ClinicalTrials.gov 2026-05-04