Development of a Non-invasive Screening Tool to Predict Metabolic Dysfunction-associated Steatotic Liver Disease
Development of a Non-invasive Screening Tool to Predict Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) in Volunteers on Clinical Trials Utilising Machine-learning and Bioimpedance Vector Analysis
Richmond Research Institute
2,000 participants
Sep 27, 2019
OBSERVATIONAL
Conditions
Summary
A generic screening study to establish structural and/or functional baselines of specific organs.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
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Interventions
Bioimpedence vector analysis
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT04873258