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A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Risk of Iron Deficiency and Anaemia in African Children

NCT07186205 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 126

Last updated 2026-02-04

No results posted yet for this study

Summary

An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in African children

Conditions

  • Iron Deficiencies

Interventions

DIAGNOSTIC_TEST

Standard blood test

Blood test will measure haemoglobin and other parameters

OTHER

Imaging and videography of anatomical sites

Images and videos of anatomical sites will be collected to develop algorithms to estimate iron status

Sponsors & Collaborators

  • Institut National de Sante Publique

    collaborator OTHER

  • Hospital Center Régional D'abobo Félix Houphouët Boigny

    collaborator UNKNOWN

  • Hôpital Mère Enfant Bingerville

    collaborator UNKNOWN

  • Danone Asia Pacific Holdings Pte, Ltd.

    lead INDUSTRY

Principal Investigators

  • Amed Coulibaly, MBBS · Institut National de Santé Publique (INSP)

Eligibility

Min Age
6 Months
Max Age
6 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-10-13
Primary Completion
2026-01-09
Completion
2026-01-09

Countries

  • Côte d’Ivoire

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07186205 on ClinicalTrials.gov