George Aribo
ID: UNCST-2022-R010546
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Digital Innovation for Zero Hunger: Developing an Artificial Intelligence enabled mobile application to detect malnutrition in children aged between 6 and 59 months
REFNo: HS2381ES
Create a dashboard for improved access of stakeholders (policy makers, program managers & researchers) to child growth and nutrition data ,Improve the performance of the CGM in terms of its predictive (Machine Learning (ML)) algorithms (accuracy and overall usefulness) for detecting malnutrition by validating it against manual anthropometric measurements in children aged 6-59 months. To develop a validated artificial intelligence based digital solution i.e. the Child Growth Monitor Application (CGM), for detection of malnutrition in children aged 6-59 months,
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Uganda |
2022-08-08 15:38:41 |
2025-08-08 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Günther Fink
ID:
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Estimating the Knowledge and Health Impact of Viamo’s 3-2-1 Service (Viamo Impact)
REFNo: HS2372ES
To assess the impact of the 3-2-1 service on nutritional status, chronic disease and birth spacing,To assess the impact of getting access to the 3-2-1 service on self-reported health behaviors,To assess the impact of getting access to the service on reproductive health knowledge ,To assess the extent to which women invited to use the 3-2-1 service access the provided information initially and over time,The goal of the proposed study is to rigorously assess the impact of the 3-2-1 Service on health knowledge and proactive healthy behavior.,
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Austria |
2022-08-08 15:34:28 |
2025-08-08 |
Medical and Health Sciences |
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Non-degree Award |
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Waiswa Peter
ID: UNCST-2020-R014921
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MEASURING CONTRACEPTIVE AUTONOMY AND ITS RELATIONSHIP WITH PROGRESS TOWARDS FERTILITY GOALS AMONG A LONGITUDINAL COHORT OF WOMEN IN NIGERIA AND UGANDA
REFNo: HS2368ES
Assess the association between contraceptive use (and specifically SI), contraceptive autonomy, and progress towards fertility goals. ,Test and validate a new, two-domain measure of contraceptive autonomy (Domain 1: consciousness of contraceptive rights and preferences, Domain 2: achievement of contraceptive rights and preferences),
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Uganda |
2022-08-08 15:29:23 |
2025-08-08 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Justine Komunyena Tumusiime
ID: UNCST-2023-R008465
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Assessing the feasibility and usability of implementing professional use and self-administered COVID-19 Antigen RDTs in Uganda
REFNo: HS2339ES
• To assess the feasibility of using professional and self-administered COVID-19 Ag-RDTs in facility OPDs and community settings in Uganda.
• To determine usability of Ag-RDT COVID-19 self-tests among FSWs, Boda boda drivers, and OPD patients.
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Uganda |
2022-08-08 15:19:50 |
2025-08-08 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Dorothy Okello Kabagaju
ID: UNCST-2021-R011847
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Development of an Efficacious Patient Management System for Uganda using
Machine Learning Techniques
REFNo: SIR101ES
General Objective
To develop a machine learning aided Portable application (MakCOV) for non-invasive screening for COVID-19 so as to improve diagnosis of COVID-19
Specific Objectives
1) To develop machine learning models for COVID-19 screening, utilizing retrospective patient data
2) To design and build a hardware platform for deployment of the machine learning models
3) To integrate the machine learning models with the hardware platform, yielding a minimum viable prototype of the learning aided platform for COVID-19 screening (MakCOV)
4) To evaluate device functionality in a public setting
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Uganda |
2022-08-08 15:16:44 |
2025-08-08 |
Engineering and Technology |
Non-Clinical Trial |
Non-degree Award |
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