Institutional development · Research, innovation and assessment · United States
Georgia Tech-led team wins US$1.2 million NIH grant for AI-guided diabetes care
The US National Institutes of Health has given a Georgia Tech-led group of computing and medical researchers an R01 grant to use AI models to prioritise Type 2 diabetes interventions.
Why it matters: Georgia Tech's computer scientists and their clinical partners now hold NIH funding until 2029 to apply their AI decision models to Type 2 diabetes.
Georgia Tech said the National Institutes of Health (NIH) gave its group of computer scientists and physicians an R01 grant of US$1.2 million that will support the work until 2029.
According to the university, the system relies on Restless Multi-Armed Bandit (RMAB) models, an AI approach that guides choices step by step in settings that are complicated and keep shifting.
The university said the project targets Type 2 diabetes and draws on the team's earlier use of RMAB methods in maternal healthcare in India.
Georgia Tech said that if the work succeeds, the method could be extended to further chronic conditions, naming hypertension, heart and kidney disease, and mental health.
Editor’s view
Scott James, Research and Innovation Editor
The Georgia Tech-led group has US$1.2 million in NIH support until 2029 to show whether its RMAB models can help clinicians decide which Type 2 diabetes patients should be treated first.
