NIH R01 · 2024
Building predictive algorithms to identify resilience and resistance to Alzheimer's disease
PROJECT SUMMARY There are two observed phenomena that defy the traditional Alzheimer’s disease (AD) trajectory; those who resist the accumulation of AD pathology (amyloid and/or tau) despite evidence of risk factors, and those who present with AD pathology but remain resilient to cognitive decline. Classifying these individuals who will likely manifest resistance or resilience to AD over their lifetime is critical for informing clinical practice and transforming clinical trial recruitment. It remains unclear how combinations of risk factors, whether demographic, vascular or neuroimaging, may help to increase accuracy for predicting an individuals’ likelihood of manifesting resistance or…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.