NIH R01 · 2025
High-dimensional Modeling of PET for radiomic Biomarker Discovery
Project Summary We propose to develop statistical methods for the analysis of longitudinal positron emission tomography (PET) data for patients with Alzheimer’s disease (AD). Disease biomarkers identified from PET data are necessary for integrating these imaging modalities in observational studies and in clinical trials for drug development for AD. We propose statistical methods for the analysis of PET images including dimension reduction and biomarker extraction from voxel-wise intensity analysis that incorporate disease progression in two observational studies including data on early-onset and late-onset AD participants. Our methods allow for integration of MRI atrophy measures in the…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.