Artificial Intelligence Enabled Experiments and Modeling for Determining Extracellular Ves — NSF Award to OHIO STATE UNIVERSITY, T
Extracellular vesicles naturally occur in biological fluids. These vesicles and their cargo are a promising source of biomarkers for personalized healthcare, including early cancer detection, health monitoring, and infectious disease. However, current methods for isolating and analyzing these particles are derived from
| Award title | Artificial Intelligence Enabled Experiments and Modeling for Determining Extracellular Ves |
|---|---|
| Award ID | 2534703 |
| Awardee | OHIO STATE UNIVERSITY, THE |
| City | COLUMBUS |
| State | OH |
| Amount obligated | $500,000 |
| Principal investigator | Shaurya Prakash |
| Program | BMMB-Biomech & Mechanobiology |
| Start date | 07/01/2026 |
| Abstract | Extracellular vesicles naturally occur in biological fluids. These vesicles and their cargo are a promising source of biomarkers for personalized healthcare, including early cancer detection, health monitoring, and infectious disease. However, current methods for isolating and analyzing these particles are derived from cellular analysis methods, such as size-based sorting, biological targeting, or density-based isolation. For vesicles, these methods are often costly, time consuming, and produce |
| Source | NSF Awards |
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