This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to Aneurisk, Inc. to develop and validate machine learning models for risk classification, growth projection, and wall stress prediction for abdominal aortic aneurysms (AAA). The project aims to create an artificial intelligence-based clinical decision support tool that enables clinicians to improve the treatment of patients with AAA, which is the 13th leading cause of death in the U.S. with an 85% mortality rate. The novel software solution will combine aneurysm diameter, stress, strain, shape analysis, and patient information to predict patient outcomes and aneurysm growth, allowing clinicians to provide the right treatment at the right time and avoid dangerous rupture events. If successful, this approach could reduce the number of surveillance visits, patient anxiety, and costly high-mortality rupture events.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $275.0k | 9/4/24 |