DANIEL KIIZA
ID: UNCST-2024-R004044
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Development and Validation of a Machine Learning-Based Clinical-Pharmacogenetic Model for the Prediction of Time-to-Sputum Culture Conversion among TB/HIV Co-infected Patients in Uganda
REFNo: HS7129ES
To develop and validate a machine learning based-pharmacogenetic model for the prediction of time-to-sputum conversion among HIV/TB co-infected Ugandan patients,To determine the association between NAT2*6, SLCOB1 and PXR polymorphisms and time-to-sputum conversion among TB/HIV co-infected Ugandan patients.,To determine the genotypic frequency of NAT2*6, SLCOB1, and PXR polymorphisms among TB/HIV co-infected Ugandan patients,
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Uganda |
2026-03-12 13:55:31 |
2029-03-12 |
Medical and Health Sciences |
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Non-degree Award |
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EMMANUEL MPAMIZO
ID: UNCST-2023-R008388
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Acceptance of home visits for the treatment of children and adolescents with HIV/AIDS
REFNo: HS6430ES
To explore how the acceptance of medical home visits in the treatment of children and adolescents with HIV in Gulu district, Uganda, can be improved.,To explore the acceptance of medical home visits in the treatment of children and adolescents with HIV/AIDS in Gulu district, Uganda, from the perspective of children and adolescents, their parents or primary care providers, and the health workers who routinely provide HIV/AIDS care,To explore the acceptance of medical home visits in the treatment of children and adolescents with HIV/AIDS in Gulu district Uganda from the perspective of children and adolescents, their parents, guardian or other primary care providers and the health workers who routinely provide HIV/AIDS care to them and to explore how the acceptance of medical home visits can be improved. ,
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Uganda |
2026-03-10 11:43:22 |
2029-03-10 |
Medical and Health Sciences |
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Non-degree Award |
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Gertrude Akello
ID: UNCST-2023-R007419
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MODELLING NATURAL HAZARD REGULATING ECOSYSTEM SERVICES IN MT. ELGON, UGANDA
REFNo: NS1064ES
i. To examine the institutional arrangements for the management of Mt. Elgon ecosystem and coordination among the actors.
ii. To assess the demand and supply pattern of hazard-regulating ecosystem services in Mt. Elgon.
iii. To model the value of hazard-regulating ecosystem services in the Mt. Elgon ecosystem
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Uganda |
2026-03-10 11:41:27 |
2029-03-10 |
Natural Sciences |
Non-Clinical Trial |
Degree Award |
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Monica Sousa
ID: UNCST-2025-R023267
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EXPLORING REGENERATIVE CAPACITY IN DEOMYINAE RODENTS OF UGANDA: COMPARATIVE INSIGHTS BEYOND THE AFRICAN SPINY MOUSE
REFNo: NS1118ES
i. To capture and identify live specimens of Lophuromys, Deomys, and Uranomys from natural habitats in Uganda.
ii. To document ecological, morphological, and physiological traits of captured individuals.
iii. To obtain biological samples for regenerative assays and molecular analyses.
iv. To compare regenerative capacity among Deomyinae species to determine whether this trait is conserved or derived.
v. To ensure all research activities adhere to ethical, legal, and institutional standards for wildlife research.
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Portugal |
2026-03-10 11:39:42 |
2029-03-10 |
Natural Sciences |
Non-Clinical Trial |
Non-degree Award |
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Nanyonga Elizabeth Monica
ID: UNCST-2025-R018232
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various communitites
REFNo: SIR523ES
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Uganda |
2026-03-10 11:36:59 |
2029-03-10 |
Engineering and Technology |
Non-Clinical Trial |
Non-degree Award |
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Solomon Mwije
ID: UNCST-2025-R022614
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Potential and value of using Artificial Intelligence (AI) in Development Monitoring and Evaluation: Tools, Factors, Benefits, Challenges & Efficacy
REFNo: SS4958ES
Main Objective
1. To explore the extent to which AI is being used in M&E practices in Africa and the Asia-Pacific Regions.
Specific Objectives
1. To identify AI tools commonly used by M&E professionals and the M&E tasks where AI is used
2. To determine factors that influence professionals to use or resist AI when performing M&E tasks
3. To analyse the benefits professionals experience when using AI in M&E practices
4. To examine the risks and challenges professionals experience when using AI in M&E practices
5. To explore how professionals perceive capacities to use AI in M&E and the future impact of AI in M&E practices
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Uganda |
2026-03-10 11:34:48 |
2029-03-10 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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VINCENZO ARMINI
ID: UNCST-2025-R021652
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A Randomized Controlled Non-Inferiority Trial with Blinded Outcome Assessment and Sensory Evaluation of a Sustainable and Locally Produced Ready-To-Use Therapeutic Food
REFNo: A709ES
The proposed randomized controlled non-inferiority trial with blinded outcome assessment and sensory assessment study aims to determine whether a sustainable Locally Produced RUTF (NutriMAS), formulated from locally available cereal and legume ingredients, is clinically effective and sensorially acceptable compared with the currently used SR-RUTF among children aged 6–59 months in Northern Uganda.
Specific Objectives
1.To compare the therapeutic effectiveness of the LP-RUTF (NutriMAS) with the SR-RUTF (RUTFUNICEF/NGO formulation) using programmatically relevant clinical outcomes.
2.To evaluate the safety and tolerability of NutriMAS in comparison with the UNICEF/NGO formulation.
3.To assess the sensory acceptability of NutriMAS versus the UNICEF/NGO formulation in terms ofappearance, flavour, taste, texture, and overall liking among children and caregivers.
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Italy |
2026-03-10 11:20:11 |
2029-03-10 |
Agricultural Sciences |
Non-Clinical Trial |
Degree Award |
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Jafesi Pulle
ID: UNCST-2020-R014213
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Improving the Availability of Single Pill Combination Therapy for hypertension in Africa (ASPeCT-Africa) A case study in Nigeria and Uganda
REFNo: SS4613ES
3. To develop a framework to support discussion on SPCs availability for hypertension,2. To determine the barriers and facilitators for the availability of SPCs for the treatment of patients with hypertension.,Overall aim To determine the key barriers and facilitators of the availability of SPCs for hypertension management in Nigeria and Uganda, and to propose a framework for a multi-stakeholder roundtable.,
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Uganda |
2026-03-10 11:17:43 |
2029-03-10 |
Social Science and Humanities |
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Non-degree Award |
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Pauline Nalumaga Petra
ID:
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MACHINE LEARNING-INTEGRATED WASTEWATER SURVEILLANCE MODEL FOR EARLY DETECTION OF ANTIMICROBIAL RESISTANCE IN URBAN AND HOSPITAL SETTINGS IN UGANDA
REFNo: HS7000ES
1.4 Objectives
1.4.1 Main Objective
To develop and pilot a machine learning-based wastewater surveillance system for the early detection and prediction of antimicrobial resistance in Southwestern Uganda.
1.4.2 Specific Objectives
1. To determine the presence, diversity, and relative abundance of antimicrobial resistance genes (ARGs) in wastewater samples from hospital and urban sites in Mbarara using metagenomic sequencing.
2. To identify and classify antimicrobial resistance genes (ARGs) using bioinformatics pipelines.
3. To develop machine learning models for predicting AMR gene abundance and classifying wastewater sources.
4. To generate a public health risk map and recommendations based on AMR hotspots detected.
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Uganda |
2026-03-10 11:15:03 |
2029-03-10 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Lydia MirembeSsenyonjo
ID: UNCST-2025-R022027
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Optimizing Audience Engagement and Message Tailoring For Sustainable Behavior Change In Uganda’s National Handwashing Campaign
REFNo: SS4860ES
i)To assess the level of audience awareness about the national hand washing
campaign
ii) To analyse the extent of audience engagement in the national hand washing
campaign
iii) To assess the extent to which messages in the national hand washing
campaign were tailored to target audiences
iv) To analyse audience adoption and sustainability of handwashing behaviour
following exposure to the hand washing campaign message
v) To test the relationship between audience engagement, message tailoring,
and sustainability of behaviour change in the national hand washing
campaign in Uganda
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Uganda |
2026-03-10 11:12:44 |
2029-03-10 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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