Using data science to improve health for young people in East Africa

UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science

['FUNDING_OTHER'] · AGA KHAN UNIVERSITY (KENYA) · NIH-10890633

This study is all about using smart technology to help improve the health of young people in Africa, especially mothers and children, by predicting health trends and spotting problems early on.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorAGA KHAN UNIVERSITY (KENYA) (nih funded)
Locations1 site (NAIROBI, KENYA)
Trial IDNIH-10890633 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing the health and well-being of young Africans by utilizing advanced data science techniques. It aims to create a platform that leverages large volumes of health data to identify and predict health trajectories, particularly in maternal, newborn, child, and mental health. By employing artificial intelligence and machine learning, the project seeks to develop early warning systems that can address critical health issues in communities. The initiative also emphasizes the importance of harmonizing various data sources to ensure meaningful analysis and application.

Who could benefit from this research

Good fit: Ideal candidates for this research include young individuals aged 0-21 living in East Africa, particularly those at risk for health issues related to maternal, newborn, child, and mental health.

Not a fit: Patients outside the age range of 0-21 or those not residing in East Africa may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to significant improvements in health outcomes for young people in East Africa.

How similar studies have performed: Other research has shown success in using data science and AI to improve health outcomes, indicating that this approach has potential for impactful results.

Where this research is happening

NAIROBI, KENYA

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.