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This study aims to develop and validate a sensitive and non-invasive eye-tracking software application. This study will obtain participant responses to brief cognitive tests designed to evaluate several key functions known to be affected by Alzheimer's Disease and non-invasive eye movement measurements in response to visually presented stimuli during specifically designed eye-tracking tests. The study data will be used to develop machine learning algorithms and validate a software application intended to track the progressive component of Alzheimer's Disease and associated cognitive changes.
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