Approved Research This page provides a searchable list of all research protocols that have been reviewed and approved by the Uganda National Council for Science and Technology(UNCST).
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Name Title Nationality Approval Date Expiry Date Field of Science/Classification Trial Type Research Type  
Adoke Yeka
ID: UNCST-2021-R004300
An open-label, randomised, controlled, non-inferiority trial to compare the efficacy, safety and tolerability of a fixed dose Triple Artemisinin-based Combination Therapy (TACT) artemether-lumefantrine-amodiaquine versus first-line Artemisinin-based Combination Therapies (ACTs) for the treatment of uncomplicated Plasmodium falciparum malaria
REFNo: HS6344ES

To compare the efficacy of ALAQ vs AL and ALAQ vs ASAQ as defined by the 28-day PCR corrected adequate clinical and parasitological response (ACPR).
Uganda 2025-09-26 17:41:17 2028-09-26 Medical and Health Sciences Clinical Trial Non-degree Award
Robert Ssekitoleko
ID: UNCST-2019-R001716
A Feasibility and Safety Study of the KeySuite Laparoscopic Devices for Cancer Diagnosis in Uganda
REFNo: SIR493ES

1. To evaluate potential safety issues associated with the use of the KeyScope in patients with intra-abdominal cancers or suspected cancers .
2. To determine the clinical performance of the KeyScope in viewing tissue masses in the abdomen.
3. To determine the clinical performance of the KeyLoop in retraction of the abdominal wall during laparoscopic surgery
4. To determine the acceptability of KeySuite laparoscopic devices in aiding to obtain laparoscopic biopsies

Uganda 2025-09-26 17:12:49 2028-09-26 Engineering and Technology Clinical Trial Non-degree Award
Martin Galiwango
ID: UNCST-2025-R017447
Image Classification in Dermatology: Real Time diagnosis of DCPA using edge computing
REFNo: SIR549ES

1. To identify the most optimal tier in the healthcare system where a DCPA diagnostic device would improve the diagnosis of DCPA based on health workers’ diagnostic accuracy and resource availability. 2. To train a deep learning model that can accurately diagnose DCPA. 3. To validate the deep learning model. 4. To implement the deep learning model on an edge-computing device that ensures data privacy.
Uganda 2025-09-26 16:31:26 2028-09-26 Engineering and Technology Non-Clinical Trial Degree Award
Edgar Mulogo Mugema
ID: UNCST-2023-R008170
Focal mass drug administration for the prevention of malaria in pregnancy: a pilot randomized controlled trial.
REFNo: SS4303ES

1. Determine the feasibility and acceptability of a fMDA program with dihydroartemisinin-piperaquine (DP) as a novel component of the MiP prevention package. 2. Estimate the efficacy of fMDA to create a “safe zone” in the immediate home environment and ultimately prevent MiP. ,The scientific objective of this pilot study is to demonstrate the feasibility, acceptability, and preliminary effectiveness of a focal mass drug administration (fMDA) program for household members of pregnant women to protect against malaria in pregnancy (MiP).,
Uganda 2025-09-26 16:24:58 2028-09-26 Social Science and Humanities Non-degree Award
Abdullah Wailagala
ID: UNCST-2025-R019096
Anticipatory Action for Health Service Resilience and Detection (AHEAD) Discovery and Design Study
REFNo: HS6471ES

2) To understand the current and ideal approaches, practices, and perceptions of health workers regarding using risk data and/or information to trigger anticipatory actions.3) To collaboratively co-design, tools and frameworks for anticipatory epidemic risk monitoring and response, drawing on healthcare worker insights, existing workflows, and routine data systems at the primary health care level. 1) To assess the effectiveness and perceived impact of the cIDSR Ebola module released in response to the most recent Ebola outbreak in January 2025 in enhancing health facility readiness and response.
Uganda 2025-09-24 16:38:20 2028-09-24 Medical and Health Sciences Non-Clinical Trial Non-degree Award
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