Project Grant R01AG090597

Award Date 6/1/25
Completion Date 2/28/30
Dollars Obligated $766K
Federal Grant Program
93.866
Assistance Type
Project Grant
Place of Performance
Georgia, USA
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The proposed models aim to address key limitations of existing multivariate data fusion approaches, including the ability to capture unimodal and multimodal subspaces, handle data with mismatched dimensionality, and account for nonlinear relationships. The models will be applied to a large longitudinal dataset to evaluate their predictive accuracy compared to unimodal analyses, as well as their ability to characterize different ADRD etiologies, including those driven by vascular effects. The project runs from June 2025 through February 2030 and all methods and results will be shared with the research community to advance the understanding of ADRD and provide new analytical tools for complex disease studies.

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