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).
Search By Approval Date:
Clear Filter Total: 5,918
Name Title Nationality Approval Date Expiry Date Field of Science/Classification Trial Type Research Type  
Naheem Tijani Adekilekun
ID: UNCST-2022-R010325
Biogenic synthesis of silver nanoparticles from Termitomyces sp. and their antimicrobial activity against clinical samples of resistant pathogenic Candida species
REFNo: HS5244ES

i. To synthesize silver nanoparticles (AgNPs) by employing the metabolites of Termitomyces species;

ii. To characterize the AgNPs biosynthesized and establish the phylogeny of Candida species using molecular techniques;

iii. To determine the antimicrobial activity of the fabricated AgNPs in contrast to common antifungal agents against resistant pathogenic Candida species.

Nigeria 2024-12-10 15:11:28 2027-12-10 Medical and Health Sciences Non-Clinical Trial Degree Award
Isaac Ssewanyana
ID: UNCST-2020-R014336
STANDARD Q Syphilis Ab Test – Validation of Specimens
REFNo: HS5333ES

The objective of this study is to demonstrate the equivalence of serum, venous whole blood (EDTA-K2, EDTA-K3, sodium citrate, sodium heparin), plasma (EDTA-K2, EDTA-K3, sodium citrate, sodium heparin) and fingerprick whole blood on the STANDARD Q Syphilis Ab Test according to WHO TSS-6 Part 1: 1.2.1.
Uganda 2024-12-10 15:09:47 2027-12-10 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Rose Nakasi
ID: UNCST-2022-R010805
Automated Mobile Microscopy for Tuberculosis Diagnosis in Uganda
REFNo: SIR450ES

1. Create an open, labelled, inclusive dataset for digital sputum microscopy images collected from the Ugandan population,
2. Develop a machine learning aided point-of-care learning platform for digital sputum microscopy image acquisition and interpretation.
3. Develop machine learning models for automatic recognition of TB bacilli features in digital sputum microscopy images,
4. Integrate the developed models in a decision support web application,
5. Validate the developed system in a clinical study.

Uganda 2024-12-10 15:02:13 2027-12-10 Engineering and Technology Non-Clinical Trial Non-degree Award
Yasushi Miyauchi
ID: UNCST-2023-R005483
Analysis of excitatory amino acids in Ustilago maydis of maize and sorghum in northern Uganda.
REFNo: A475ES

To measure the amount of each excitatory amino acid contained in Ustilago maydis of maize and sorghum by using Gas Chromatography,
Japan 2024-12-10 15:01:21 2027-12-10 Agricultural Sciences Non-Clinical Trial Degree Award
Saidah  Menya
ID: UNCST-2024-R003540
Improving quality maternal and new-born care: An investigation into the relevance and effectiveness of quality care processes in three health facilities with in Nakaseke and Luwero districts in Uganda
REFNo: HS5038ES

4. To evaluate whether the quality improvement process improves maternal and newborn outcomes. ,3. To establish a baseline data and evaluate whether the quality improvement process increases quality of care scores in three health facilities and compare with the baseline,2. To implement and monitor the quality improvement tool and relevant processes and gather feedback on their relevance and utility in the AdaraNewborn facilities.,1. To develop a quality improvement process within all AdaraNewborn facilities, including a quality improvement tool that prioritise the WHO maternal and newborn health standards,To monitor and assess the implementation of quality improvement processes to evaluate whether they contribute to improved quality of care within a health facility and overall maternal and newborn outcomes.,
Uganda 2024-12-10 14:58:15 2027-12-10 Medical and Health Sciences Non-Clinical Trial Non-degree Award
View Sort By:

"A prosperous Science and Technology Led Ugandan Society."