Full Electronic Multiplexed Nucleic Acid Detection via Machine Learning Enhanced Solid-Sta — NSF Award to Indiana University (IN,
Accurate and affordable detection of respiratory infections remains difficult outside centralized laboratories. Many respiratory pathogens circulate at the same time and produce similar symptoms, which makes rapid diagnosis challenging. This project will develop a compact electronic approach for multiplex nucleic acid
| Award title | Full Electronic Multiplexed Nucleic Acid Detection via Machine Learning Enhanced Solid-Sta |
|---|---|
| Award ID | 2603909 |
| Awardee | Indiana University |
| City | BLOOMINGTON |
| State | IN |
| Amount obligated | $494,396 |
| Principal investigator | Weihua Guan |
| Program | CSCS: Circuits and Systems for |
| Start date | 05/01/2026 |
| Abstract | Accurate and affordable detection of respiratory infections remains difficult outside centralized laboratories. Many respiratory pathogens circulate at the same time and produce similar symptoms, which makes rapid diagnosis challenging. This project will develop a compact electronic approach for multiplex nucleic acid detection that avoids the optics, fluorescent probes, and gel-based analysis used in many current tests. The work addresses a fundamental problem in molecular diagnostics: how to c |
| Source | NSF Awards |
$799/mo
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