The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to the Research Foundation of the City University of New York (RFCUNY) for the "PARTNER: AI/ML-DRIVEN EDGE COMPUTING FOR CARDIOVASCULAR DISEASE DIAGNOSIS/MECHANISM STUDY" project. This collaborative research effort between RFCUNY's City College of New York (CCNY) and the AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE) aims to develop an inexpensive, AI-enabled sensor and learning system for real-time monitoring and diagnosis of cardiovascular disease. The project will leverage the partners' expertise in AI/ML, edge computing, medical computing, and disease mechanism research to create a low-cost, easy-to-use application with broader implications for healthcare and scientific discovery. Under this award, RFCUNY will also subcontract $120,000 to The Ohio State University to design multimodal sensors, develop edge-computing techniques, and validate the machine learning approaches. This project supports NSF's goals of advancing transformative technologies, addressing societal challenges, and fostering an inclusive STEM ecosystem.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $1.0m | 9/18/23 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
CM00012016S | The Ohio State University | Project Grant 2324052 | $400.0k | 9/18/24 |