Funded by the National Institutes of Health, the initiative aims to harness cutting-edge computer technology to improve care in the local community. Waljee’s co-principle investigator, professor Amina Abubakar, directs AKU’s Institute for Human Development and has extensive research experience in maternal and mental health—subjects that will be the initial focus of the new data science hub.
The idea is to see how the newest artificial intelligence and machine learning tools might be applied for impact in comparatively low-resourced areas abroad.
While the project marks Waljee’s first major foray into the global health setting, his prior research work has been similarly focused on pushing the practical boundaries of computer technology to benefit underserved populations in the US—specifically veterans.
“Akbar has been involved in the earliest applications of machine learning in gastroenterology,” said Peter Higgins, professor of Internal Medicine. “He has been able leverage the big data in the Veterans Administration system to predict inflammatory bowel disease flares, calculate risk for hepatitis C patients, and predict responses to specific biologic therapies.”
Beginning in 2010, Higgins and Waljee collaborated to publish some of the earliest studies on the machine learning applications in gastroenterology, helping to bring their field into the precision medicine age. Making those technologies more widely available outside the US is a logical next step.
“Akbar has made a pivot to bring the strengths of AI and innovation to global health—particularly the people of East Africa, where he grew up,” Higgins said. “He wants to make an impact for patients beyond our high-tech, high-cost US environment and bring innovation to global healthcare.”
Waljee left Kenya for the US at 17 after finishing high school, joining an older sister in Atlanta. He attended medical school at Emory and completed his residency and fellowship programs at Michigan Medicine, joining the faculty in 2009. The new project with collaborators in his home country—where his mother still lives and he often visits—is the culmination of a long-held ambition.
“I’ve always been very interested in giving back to the community, particularly in East Africa, because that to me is home. I have a connection,” Waljee said. “I am so grateful to Dr. Abubakar and her AKU colleagues for allowing me to fulfill this ambition and be engaged on this project with them.”
Waljee also wishes to thank all of his colleagues and friends who have been instrumental in his work, specifically his long-time collaborator Dr. Ji Zhu, Susan A. Murphy Collegiate Professor of Statistics.
—Craig McCool
More about Akbar
Akbar Waljee is professor Internal Medicine at the University of Michigan Medical School. Waljee’s global work focuses on delivering high value care through data-science in low- and middle-income countries or low resource settings. His interests in global health equity align with the Center themes of addressing social and environmental determinants of health and providing technical solutions.
Waljee uses data science to address disparities in healthcare delivery and utilization. By using artificial intelligence methods—such as machine learning—he is able to tailor his work to facilitate the delivery of efficient, effective and equitable care, especially in areas with limited resources.