Bashemera Birungi Brenda
ID: UNCST-2025-R021775
|
A Deep Learning Framework for Stroke Biomarker Detection and Prediction of Post Stroke Epilepsy in Brain CT Scans
REFNo: SIR712ES
1.Collect and curate brain CT scan image datasets.
2. Develop a deep learning segmentation model to detect stroke biomark-
ers.
3. Develop a deep learning prediction model to predict the likelihood of
Post Stroke Epilepsy (PSE) to a high degree of accuracy.
4. Develop Large Language Models (LLM) to provide clinical reports
from the deep learning models for stroke segmentation and post-stroke
epilepsy prediction.
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Uganda |
2026-07-09 19:30:44 |
2029-07-09 |
Engineering and Technology |
Non-Clinical Trial |
Degree Award |
|
GRACE KANSIIME
ID: UNCST-2019-R000380
|
POPULATION-BASED EVALUATION OF THE EPIDEMIOLOGY OF NON-COMMUNICABLE DISEASES AND SOCIOCULTURAL CONTEXT AMONG ADULTS OF TWO RURAL POPULATIONS IN UGANDA.
REFNo: HS7934ES
To build a cohort platform of adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda, with linkage to routinely collected clinical and/or medico-administrative data at the health centre to answer pertinent research questions about NCDs. ,To determine the trends in prevalence and incidence of Diabetes Mellitus and Hypertension among the cohort participants in among the adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda.,To document the sociocultural determinants of health to inform the development of community-led strategies for health promotion and improved quality of life among the adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda. ,To determine the burden of known risk factors such as obesity, lifestyle, smoking and diet, associated with Diabetes Mellitus and Hypertension among the adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda.,.To determine the prevalence of Diabetes Mellitus and Hypertension and examine associated sociocultural factors among the adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda.,
|
Uganda |
2026-07-09 19:26:55 |
2029-07-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
Raymond Alinetu
ID: UNCST-2025-R022600
|
PREVALENCE AND PREDICTORS OF TIME-TO-DISPOSITION AMONG ROAD TRAFFIC ACCIDENT PATIENTS AT THE EMERGENCY DEPARTMENT OF MBARARA REGIONAL REFERRAL HOSPITAL
REFNo: HS7584ES
To determine the mean time-to-disposition, identify its predictors, and assess its association with early clinical outcomes among adult road traffic accident patients at the Emergency Department of Mbarara Regional Referral Hospital
1) To determine the mean time-to-disposition and the prevalence of prolonged time-to-disposition (exceeding 4 hours) among adult road traffic accident patients at the Emergency Department of Mbarara Regional Referral Hospital.
2) To identify the patient-related factors (e.g., age, injury severity, impairment), attendant-related factors (e.g., presence, relationship, decision-making capacity), and system-level factors (e.g., staffing, diagnostic service availability, time of arrival) that predict prolonged time-to-disposition among adult road traffic accident patients at the Emergency Department of Mbarara Regional Referral Hospital.
3) To determine the association between time-to-disposition and early clinical outcomes (recovery status and survival at ED disposition) among adult road traffic accident patients at Mbarara Regional Referral Hospital
|
Uganda |
2026-07-09 19:24:38 |
2029-07-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
|
Moffat Nyirenda Joha
ID: UNCST-2020-R019333
|
Longitudinal Study of Oculomics in the General Population Cohort, Uganda Africa Oculomics Research Programme
REFNo: HS7940ES
Primary Objective:
Our vision is to unlock the potential of Oculomics to better understand, diagnose and predict non-communicable disease (NCDs), to improve health outcomes and equity for African populations.
Secondary Objectives:
1. Establish prospective ocular imaging and NCD phenotyping studies, nested within the existing General Population Cohort in Uganda.
2. Optimise artificial intelligence (AI) foundation models for ocular image analysis for this African population, and to fine-tune these models to detect several different systemic conditions.
3. Investigate cross-sectional and longitudinal associations between ocular biomarkers and major NCDs, to determine the diagnostic, prognostic and predictive potential of oculomics for these conditions.
4. Assess the prevalence, incidence, progression and risk factors for common ophthalmic conditions.
5. Report the long-term incidence, progression and risk factors for major NCDs (including CVD, Renal disease, liver disease, mental health, neurological conditions and musculoskeletal impairment).
|
Malawi |
2026-07-09 19:22:22 |
2029-07-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
Yunia Musasizi Alele
ID: UNCST-2026-R024432
|
Strategic Communication in Universities in Uganda
REFNo: SS5401ES
i. How is strategic communication practised in universities in Uganda?
ii. How does stakeholder engagement shape strategic communication in universities?
iii. How does an integrated communication function shape university strategic communication?
iv. How does top management perception shape the strategic communication role in universities?
v. How does meaning construction shape strategic communication in universities?
|
Uganda |
2026-07-09 19:20:38 |
2029-07-09 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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