SBIR Phase I: Machine Learning for Early Detection of COVID-19 Plaques in Cells — NSF Award to ViQi LLC (CA, $255,571)
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to accelerate the development of vaccines and anti-virals with artificial intelligence (AI) techniques. This project will develop technology to detect changes in virus-infected cells days or weeks before they ca
| Award title | SBIR Phase I: Machine Learning for Early Detection of COVID-19 Plaques in Cells |
|---|---|
| Award ID | 2029707 |
| Awardee | ViQi LLC |
| City | SANTA BARBARA |
| State | CA |
| Amount obligated | $255,571 |
| Principal investigator | Ilya Goldberg |
| Program | SBIR Phase I |
| Start date | 09/01/2020 |
| Abstract | The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to accelerate the development of vaccines and anti-virals with artificial intelligence (AI) techniques. This project will develop technology to detect changes in virus-infected cells days or weeks before they can be detected manually. This will accelerate studies for novel anti-viral compounds characterizing their effectiveness on rapidly mutating viral strains, such as influenza and SARS |
| Source | NSF Awards |
$799/mo
Try NSFGrants →