National Institute on Aging 5R01AG079142-04

Building predictive algorithms to identify resilience and resistance to Alzheimer's disease

This award funds the development of predictive models to identify individuals resistant or resilient to Alzheimer's disease using data from multiple cohorts, enhancing clinical practice and trial design.

Description

The project aims to develop and validate predictive algorithms of resistance and resilience to Alzheimer's disease by harmonizing data from 13 cohorts of clinically normal older adults. It will use medical information such as demographics, vascular risk, APOE status, and brain volumetric data to provide patient-level predictions of resistance and resilience with 10-year risk estimates of AD pathological burden and cognitive decline. The project also examines how sex and race influence risk profiles and aims to improve clinical decision-making and trial recruitment.

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