Deep Learning MRI Biomarkers for Monitoring Amyloid-Lowering Therapy – Retrospective UF Study Proposal

UF Internal Seed Fund: Fixel Early Catalyst Award

Principal Investigator: Maira Sarpi

Project description: This project aims to develop advanced AI models to identify imaging biomarkers for Alzheimer’s disease using multimodal data from multicenter cohorts and the UF-ADIR dataset. By combining brain imaging, laboratory, and cognitive data, the AI system will detect patterns associated with disease while providing interpretable insights for clinicians. The approach emphasizes robust, reproducible results across different scanners and settings, supporting broader clinical application and improved understanding of Alzheimer’s disease.