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Predicting amyloid status using remote online self‐report and cognitive assessment: The Brain Health Registry

The ability to identify older adults with elevated brain amyloid beta (Ab) load can facilitate Alzheimer’s disease (AD) prodromal and preclinical trial recruitment and has possible clinical benefits. Development and validation of non‐invasive, cost‐effective methods to accurately predict brain Ab status are crucially needed. The overall goal of this study was to assess the predictive value of online, remotely‐collected information in determining Ab‐PET status. We compared the predictive performance of online measures to the performance of similar in‐clinic measures.