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  
Moses Joloba Lutaakome
ID: UNCST-2022-R011558
A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear Slides: Version 1.0 dated Nov 2020
REFNo: HS1144ES

1. Validate the platform, and assess efficiency improvements from computerized detection approaches.
a. Perform a slide specimen digitization (400 slides, 98 images/slide, 39,200 images).
b. Classify all images as dark/medium/light based on color histogram data.
c. Assess accuracy vs. manual microscopy, and sensitivity/specificity vs. bacterial culture.
d. Develop a new image analysis algorithm by integrating software applications that include Artificial Intelligence (AI) approaches via Convolutional Neural Networks (CNN).
2. Quantify slide staining quality and variability through the use of novel methods which exploit the color spectra of stained slides.
a. Determine factors which led to poor slide preparation.
b. Test a new quality control method (HistoQC) to standardize clinical slide preparations

Uganda 2021-03-01 2024-03-01 Medical and Health Sciences Non-degree Award
THOMSON LAKWO LURONI
ID: UNCST-2023-R007843
Evaluation of the Diagnostic Tests in Areas Hypoendemic for Onchocerciasis –Uganda: a follow-up study.
REFNo: HS1220ES

Objective 1: Evaluate the distribution of anti-OV-16 antibody and other markers of O. volvulus infection in multiple age groups over time in an area of active intervention for onchocerciasis
Objective 2: To determine whether a serologic threshold of 2% that modeling suggested is consistent with interruption of transmission.
Objective 3: Monitor for sero-reversion of OV-16 antibody positivity in a nested cohort of individuals who participated in the previous study.

Uganda 2021-03-01 2024-03-01 Medical and Health Sciences Non-degree Award
Moses Joloba Lutaakome
ID: UNCST-2022-R011558
Predicting the Future: Incipient Tuberculosis (PreFIT)
REFNo: HS1242ES

1.1 Aim:
To validate the clinical performance, cost, and feasibility of a package of ready-to-use new and existing candidate diagnostic assays for the prediction of the development of active TB.
1.2 Objectives:
1. Establish a multi-country diagnostic evaluation cohort of highly exposed TB contacts free of co-prevalent active TB, followed prospectively for active TB development over a 12-months period, and collect and store biological specimens from these contacts at pre-set time-points for laboratory testing; and
2. Validate a package of candidate assays for their predictive accuracy (sensitivity, specificity, positive and negative predictive values) for incident TB, feasibility, and cost. Based on combining results for the different tests, cost-optimised predictive algorithms will be derived.

Uganda 2021-03-01 2024-03-01 Medical and Health Sciences Non-degree Award
Miriam Nansunga
ID:
ASSESSMENT OF THE SAFETY AND EFFICACY OF COMMON MEDICINAL PLANTS OF CENTRAL UGANDA ON IMPAIRED LEARNING AND MEMORY IN RATS
REFNo: HS648ES

1. To identify medicinal plants of Central Uganda used in the management of memory impairment.
2. To determine the effect of the aqueous extracts of the 5 most commonly mentioned plants on escape latency in the Morris Water Maze and step down latency in Passive Avoidance test.
3. To determine the effect of the total crude extracts of the two most effective plants on: acetylcholine, glutamate; muscarinic receptor M1, M3 and M5; glutamate receptors AMPA and NMDA in the hippocampus and orbital frontal cortex

4. To establish the safety and toxicity profile of the two most active plants extracts on memory and learning enhancement.

Uganda 2021-02-26 2024-02-26 Medical and Health Sciences Degree Award
Leevan Tibaijuka
ID: UNCST-2021-R012986
Predictors for preterm neonatal mortality at Mbarara Regional Referral Hospital
REFNo: HS469ES

General objective
To Describe the Predictors for Preterm Neonatal Mortality among preterm babies delivered at Mbarara Regional Referral Hospital (MRRH).
Specific objectives
1. To describe the neonatal mortality of preterm babies at Mbarara Regional Referral Hospital
2. To describe the association of antenatal care attendance, antenatal corticosteroid use and mode of delivery with preterm neonatal death at Mbarara Regional Referral Hospital

Uganda 2021-02-25 2024-02-25 Medical and Health Sciences Degree Award
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