Project Grant R15AG103945

The National Institute on Aging awarded $526,607 to Wake Forest University on September 1, 2026, under the Aging Research program (CFDA 93.866) to develop computational imaging frameworks that integrate neuroimaging with multi-omics data to identify Alzheimer's disease subtypes and model neurodegenerative progression with calibrated uncertainty. The project, titled "Neuroimaging Multi-Omics Fingerprints for Subtyping and Uncertainty-Aware Prediction of Alzheimer's Disease," will construct knowledge-guided graphs to characterize multimodal imaging-omics interactions and identify interpretable AD subtypes, and design uncertainty-aware deep learning models to forecast neurodegenerative and cognitive trajectories. The work uses ANMERGE data for model development and discovery, with generalizability evaluation on complementary datasets (AMP-AD and ADNI). The award funds research performed in Winston-Salem, North Carolina, with a period of performance extending through August 31, 2029. Successful completion will yield novel deep learning algorithms that unify multi-omics and neuroimaging data to reveal interpretable subtypes and generate uncertainty-aware disease predictions.