Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit
cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at
opm.gov.
MUST Data Science Research Hub (MUDSReH)
The following grant was awarded by, is supported by, is administered by or is in partnership with the Fogarty International Center at the U.S. National Institutes of Health (NIH).
Funding Fogarty Program
Data Science for Health Discovery and Innovation in Africa (DS-I Africa)
Project Information in NIH RePORTER
MUST Data Science Research Hub (MUDSReH)
Principal Institution
Mbarara University of Science and Technology
Principal Investigator(s) (PI)
Kaggwa, Fred; Celi, Leo Anthony G; Haberer, Jessica Elizabeth
Project Contact Information
Email:
kaggwa_fred@must.ac.ug
Year(s) Awarded
2021-2026
Country
Ghana; Kenya; Uganda
Collaborators
College of Ophthalmologists of Eastern, Central & Southern Africa, Kenya
Kwame Nkrumah University of Science & Technology, Ghana
Massachusetts Institute of Technology
Massachusetts General Hospital
Uganda Ministry of Health
NIH Partners
OD/NIH
Project Description
Medical images offer great potential for supporting clinical diagnosis and care management; however, their utility for African researchers and clinicians are limited by the number of images available, insufficient linkage to relevant clinical data, limited data from African populations for proper image interpretation, and poor implementation in clinical practice. The Mbarara University Data Science Research Hub is designed to overcome these barriers through robust Data Management and Analysis and Administrative Cores, initially supporting projects in posterior segment eye disease and cervical cancer with plans for expansion to new projects and sites, as well as training in data science and implementation science.
Related World Regions / Countries
Related Global Health Research Topics