# Collaborative Research: FDT-BioTech:physics-informed and machine learning-accelerated digital twin simulations for cardiovascular medical device evaluation

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | Emory University |
| Location | ATLANTA, GA |
| Project | Collaborative Research: FDT-BioTech:physics-informed and machine learning-accelerated digital twin simulations for cardiovascular medical device evaluation |
| Award amount | $367,193 |
| Obligated so far | $297,709 |
| Awarded | 2026-09-01 |
| Period | 2026-09-01 to 2027-11-30 |
| Program | CYBERINFRASTRUCTURE, OFFICE OF MULTIDISCIPLINARY AC, MSPA-INTERDISCIPLINARY, Engineering of Biomed Systems |
| Directorate / division | MPS / MMS |
| Award ID | 2640838 |

## Why this score
- Award of $300K or more.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2640838). Last refreshed: 2026-11-03T18:10:42.804Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.