ACED: Integrating Wide and Deep: Foundational AI Models for Accelerating Microbiome Scienc — NSF Award to Oregon State University
Microbiomes, the diverse communities of microorganisms found in environments like soil, water, and the human body, are fundamental to many natural processes, including carbon cycling, nutrient cycling, and ecosystem health. To better understand microbiomes, the scientific community has heavily invested in sequencing an
| Award title | ACED: Integrating Wide and Deep: Foundational AI Models for Accelerating Microbiome Scienc |
|---|---|
| Award ID | 2436018 |
| Awardee | Oregon State University |
| City | CORVALLIS |
| State | OR |
| Amount obligated | $500,000 |
| Principal investigator | Xiaoli Fern |
| Program | ACED-Accl Comp Enabled Sci Dis, Cross-BIO Activities |
| Start date | 06/15/2025 |
| Abstract | Microbiomes, the diverse communities of microorganisms found in environments like soil, water, and the human body, are fundamental to many natural processes, including carbon cycling, nutrient cycling, and ecosystem health. To better understand microbiomes, the scientific community has heavily invested in sequencing and multi-omics technologies, generating vast amounts of microbiome-derived data that offer valuable insights into microbial diversity and function. Despite these advances, studying |
| Source | NSF Awards |
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