CAREER: AI-Driven Multimodal Feature Engineering for Personalized Biomedical System Design — NSF Award to University of Georgia Re
This CAREER project will develop artificial intelligence (AI) tools to better understand and monitor neurological diseases. The research will combine brain images, genetic information, and clinical information. These are complex data sets with uncertainties, which makes it difficult to analyze them separately. The AI t
| Award title | CAREER: AI-Driven Multimodal Feature Engineering for Personalized Biomedical System Design |
|---|---|
| Award ID | 2543636 |
| Awardee | University of Georgia Research Foundation Inc |
| City | ATHENS |
| State | GA |
| Amount obligated | $546,167 |
| Principal investigator | Rongjie Liu |
| Program | Engineering of Biomed Systems |
| Start date | 06/01/2026 |
| Abstract | This CAREER project will develop artificial intelligence (AI) tools to better understand and monitor neurological diseases. The research will combine brain images, genetic information, and clinical information. These are complex data sets with uncertainties, which makes it difficult to analyze them separately. The AI tools developed in this project will integrate and interpret the combined data. The resulting analysis will identify patient specific disease mechanisms and predict how diseases pro |
| Source | NSF Awards |
$799/mo
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