Condition: Body Composition · Sponsor: Dynamical Business and Science Society - DBSS International SAS
Anthropometric measurements are commonly employed to evaluate body composition, morphology, and health-related parameters across diverse populations. While a cost-effective and field-friendly method, the COVID-19 pandemic has spurred research on digital anthropometry worldwide. Machine learning, a fusion of artificial intelligence and data mining, holds promise for enhancing data collection and analysis in Kinanthropometry applications. Rather than replacing traditional methods, digital anthropometry presents a significant opportunity to enhance accuracy, validity, practicality, and the implementation of self-monitoring procedures under professional guidance. The CyberMetron Project by DBSS aims to perform additional research and increase scientific literacy among practitioners for public awareness of digital anthropometry.
This description comes directly from the study's public registry record.
Diego A Bonilla · +573203352050 · dabonilla@dbss.pro
Always discuss trial participation with your own doctor first.
| Universidad CES | Medellín, Antioquia, Colombia | Recruiting |
| Fundación Universitaria del Área Andina | Bogotá, Bogota D.C., Colombia | Recruiting |
| Fundación Universitaria del Área Andina | Pereira, Risaralda Department, Colombia | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07003516