Low-Burden Tools for Improving Prediction and Diagnoses of Cognitive Impairment

This research applies state-of-the-art mathematical models to clinical tests of memory to dramatically improve such tests' ability to predict future cognitive impairment in older adults and to diagnose current impairment.  Findings will be used to develop low-burden tools that remove the noise for such tests and provide scores for the component memory process that are associated with conversion to impairment.