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Principal Investigator  
Principal Investigator's Name: Tess Cersonsky
Institution: Brown University
Department: Medicine
Proposed Analysis: The goal of this study is to develop a predictive model that can be applied in clinical settings as an early screener for AD risk. Data will be used to develop, validate, and replicate a predictive algorithm to classify early AD risk using machine learning and predictive modeling. We will employ cutting edge statistics and informatics to leverage information across several harmonized datasets for machine learning model training. We will then utilize our own registry data as an independent, replication sample.This research is being conducted as part of an NIH-Funded study: U54GM115677 (Padbury, PI, "Building an Infrastructure and Dynamic Dataset for AD Risk Assessment, extension for Institutional Development Award for Clinical and Translational Research (IDeA-CTR) from the NIGMS.
Additional Investigators