U54TW012043
Cooperative Agreement
Overview
Grant Description
Must Data Science Research Hub (MUDSREH) - Overall Research Plan Project Summary
Significance
Data science holds great promise for Sub-Saharan Africa, yet research capacity and appropriate training are limited. Medical images are particularly exciting for data science in this setting given their ability to facilitate care delivery across healthcare cadres. Efforts to translate the knowledge gained through data science into improved clinical care can be fostered through implementation science. Strategic multi-disciplinary, multi-institutional partnerships will be key for the development and ultimate impact of data science for African-based solutions.
Innovation
This proposal is innovative in 1) its use of data science with medical images for advancing clinical care, and 2) integration of data science with implementation science to promote clinical impact.
Approach
The Mbarara University Data Science Research Hub (MUDSREH) in Uganda will use multiple technologies to improve the capture of medical images and employ key data science methods, such as machine learning and artificial intelligence, to expand their utilization in Sub-Saharan Africa. Clinical impact will be strengthened through implementation science methods. Formal training will be available for both data science and implementation science, and ongoing expansion of efforts will be promoted through regional summits and collaboration.
The two initial research projects—Optimized Posterior Fundus Imaging to Diagnose Posterior Segment Eye Disease and Mobile-Phone Based Cervical Images to Detect Cancer—will involve partnerships with the College of Ophthalmologists of Eastern, Central and Southern Africa in Kenya and the Kwame Nkrumah University of Science and Technology in Ghana, respectively. Massachusetts Institute of Technology will provide technical support for data management and analysis, and Massachusetts General Hospital will support the use of implementation science and other relevant content areas for individual research projects. Each project will work with local Ministries of Health, community-based organizations, and/or technology partners to advance the mission of harnessing medical images for improved clinical outcomes and impact.
Our specific aims are as follows:
1. To integrate all partnering academic institutions, technology companies, and non-governmental organizations to advance data science for medical imaging. All partners will contribute to a common infrastructure for data processing and analysis. We will establish both the administrative and technical mechanisms for data exchange, accounting for necessary data security and quality assurance and control. We will further create pathways for facile expansion to include additional research projects involving medical imaging (e.g., in radiology and dermatology) at multiple African institutions.
2. To integrate implementation science with data science to advance clinical impact. All research projects in the MUDSREH will include implementation science methodologies to ensure the developed technology reaches the end user in practical ways that meet local needs and priorities.
Significance
Data science holds great promise for Sub-Saharan Africa, yet research capacity and appropriate training are limited. Medical images are particularly exciting for data science in this setting given their ability to facilitate care delivery across healthcare cadres. Efforts to translate the knowledge gained through data science into improved clinical care can be fostered through implementation science. Strategic multi-disciplinary, multi-institutional partnerships will be key for the development and ultimate impact of data science for African-based solutions.
Innovation
This proposal is innovative in 1) its use of data science with medical images for advancing clinical care, and 2) integration of data science with implementation science to promote clinical impact.
Approach
The Mbarara University Data Science Research Hub (MUDSREH) in Uganda will use multiple technologies to improve the capture of medical images and employ key data science methods, such as machine learning and artificial intelligence, to expand their utilization in Sub-Saharan Africa. Clinical impact will be strengthened through implementation science methods. Formal training will be available for both data science and implementation science, and ongoing expansion of efforts will be promoted through regional summits and collaboration.
The two initial research projects—Optimized Posterior Fundus Imaging to Diagnose Posterior Segment Eye Disease and Mobile-Phone Based Cervical Images to Detect Cancer—will involve partnerships with the College of Ophthalmologists of Eastern, Central and Southern Africa in Kenya and the Kwame Nkrumah University of Science and Technology in Ghana, respectively. Massachusetts Institute of Technology will provide technical support for data management and analysis, and Massachusetts General Hospital will support the use of implementation science and other relevant content areas for individual research projects. Each project will work with local Ministries of Health, community-based organizations, and/or technology partners to advance the mission of harnessing medical images for improved clinical outcomes and impact.
Our specific aims are as follows:
1. To integrate all partnering academic institutions, technology companies, and non-governmental organizations to advance data science for medical imaging. All partners will contribute to a common infrastructure for data processing and analysis. We will establish both the administrative and technical mechanisms for data exchange, accounting for necessary data security and quality assurance and control. We will further create pathways for facile expansion to include additional research projects involving medical imaging (e.g., in radiology and dermatology) at multiple African institutions.
2. To integrate implementation science with data science to advance clinical impact. All research projects in the MUDSREH will include implementation science methodologies to ensure the developed technology reaches the end user in practical ways that meet local needs and priorities.
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding Agency
Place of Performance
Uganda
Geographic Scope
Foreign
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 403% from $1,294,297 to $6,511,809.
Mbarara University Of Science And Technology was awarded
MUST Data Science Research Hub (MUDSReH)
Cooperative Agreement U54TW012043
worth $6,511,809
from the National Institute of Allergy and Infectious Diseases in September 2021 with work to be completed primarily in Uganda.
The grant
has a duration of 4 years 9 months and
was awarded through assistance program 93.310 Trans-NIH Research Support.
The Cooperative Agreement was awarded through grant opportunity Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa) Research Hubs (U54 Clinical Trial Optional).
Status
(Ongoing)
Last Modified 9/24/25
Period of Performance
9/15/21
Start Date
6/30/26
End Date
Funding Split
$6.5M
Federal Obligation
$0.0
Non-Federal Obligation
$6.5M
Total Obligated
Activity Timeline
Transaction History
Modifications to U54TW012043
Additional Detail
Award ID FAIN
U54TW012043
SAI Number
U54TW012043-1711489337
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Non-Domestic (Non-U.S.) Entity
Awarding Office
75NF00 NIH Fogarty International Center
Funding Office
75NA00 NIH OFFICE OF THE DIRECTOR
Awardee UEI
HWXLSV26ZLC3
Awardee CAGE
SET51
Performance District
Not Applicable
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Office of the Director, National Institutes of Health, Health and Human Services (075-0846) | Health research and training | Grants, subsidies, and contributions (41.0) | $2,722,224 | 100% |
Modified: 9/24/25