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  
Lawrence Osuwat Obado
ID: UNCST-2023-R008389
 CHARACTERIZATION OF PHENOTYPES AND MOLECULAR GENOTYPES OF BREAST CANCER: A RETROSPECTIVE STUDY AT HISTOPATHOLOGY CENTRES IN UGANDA
REFNo: HS4751ES

To establish the prevalence of mutations and the clinical significance of the identified variants ,To characterize gene variants from DNA of the sampled materials,To categorize the molecular subtypes of the tumors from retrieved tissues,To determine the demographics and histological phenotypes of BC from archived materials,Overall, this study seeks to use archived breast tissues and clinical notes for the investigation of underlying gene mutations and the relationship between demographics, pathological phenotypes, and intrinsic molecular sub-types of BC in Uganda, done through four sub-studies.,
 Uganda 2024-09-12 11:02:37 2027-09-12 Medical and Health Sciences Non-Clinical Trial Degree Award
SABASTIAN SEMPALA
ID:
STRATEGIES FOR ENHANCING CONTINUOUS PROFESSIONAL DEVELOPMENT FOR TVET TRAINERS IN INSTRUCTOR TRAINING INSTITUTIONS IN UGANDA
REFNo: SS3179ES

(i) Establish the current strategies to enhance CPD for TVET trainers in instructor training institutions.
(ii) Assess strategies that facilitate identifying the training needs of TVET trainers in Instructor Training Institutions in Uganda.
(iii) Determine the adoptable, innovative strategies that can be employed to enhance CPD programmes for TVET trainers.

 Uganda 2024-09-12 11:01:03 2027-09-12 Social Science and Humanities Non-Clinical Trial Degree Award
Mary Gorreth Nabukenya Mudiope
ID: UNCST-2023-R008256
 Analysis of routinely collected clinical data to evaluate patient and program outcomes at health facilities supported by the USAID LPHS TB Activity in Uganda.
REFNo: HS4604ES

To assess and quantify the uptake of standard guidelines for TB prevention, screening, diagnosis, and treatment and to determine the effect of variations in uptake on important program and patient outcomes in line with the End TB Targets.
 Uganda 2024-09-12 10:54:51 2027-09-12 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Frederick Bwire Ouma
ID: UNCST-2023-R006281
 SELF-FINANCING AND FINANCIAL SUSTAINABILITY IN NON-GOVERNMENTAL ORGANIZATIONS: AN ANALYSIS OF SELECTED NGOs IN EASTERN UGANDA
REFNo: SS2940ES

General Objective of the Study
To examine the relationship between self-financing and financial sustainability in Non-Governmental Organizations, taking operations of selected NGOs engaging in self-financing activities in eastern Uganda as a case study.

Specific Objectives of the Study
To achieve the general objective, the research focuses on the following specific objectives:
1. To establish the relationship between programme revenues and financial sustainability
2. To determine the role of related spin-offs on financial sustainability
3. To establish the role of asset down time on financial sustainability
4. To examine the contribution of unrelated extension to financial sustainability
5. To establish whether financial management practices mediates the relationship between self-financing and financial sustainability.

Uganda 2024-09-12 10:43:06 2027-09-12 Social Science and Humanities Non-Clinical Trial Degree Award
Rose Nakasi
ID: UNCST-2022-R010805
 Artificial Intelligence-Based Mobile Microscopy and Surveillance of Cervical Cancer in Uganda
REFNo: SIR374ES

Overall objective: To develop and evaluate a machine learning-aided platform for automated detection and diagnosis of cervical cancer in underserved populations. Specific objectives 1. Develop predictive Machine Learning models based on pap, biopsy, clinical and demographic data to diagnose cervical cancer and make appropriate and timely intervention recommendations. 2. To integrate the ML models in the image processing pipeline of a mobile smartphone and web-based system. 3. To evaluate the efficacy of the predictive and diagnostic models in cervical cancer detection.
 Uganda 2024-09-12 10:41:31 2027-09-12 Engineering and Technology Non-Clinical Trial Non-degree Award
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