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Entry Date:
June 1, 2020

A Deep Learning System to Identify Combinatorial MEG and PET-based Biomarkers for Early Detection and Monitoring of Alzheimer’s Disease

Principal Investigator Dimitrios Pantazis

Associated Departments, Labs & Centers
Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic)

This proposal aims to first construct and monitor biomarkers using combined brain imaging modalities, then use a deep learning model that integrates connectome-structured data to discover multimodal features that predict an individual’s risk for AD.