Remote digital multi‐day learning curves detect subtle cognitive differences associated with plasma p ‐tau217 among cognitively unimpaired older adults

Abstract

Background: Timely identification of individuals at‐risk for Alzheimer's disease (AD) is pivotal for secondary prevention and requires innovative approaches. Combining remote smartphone‐based cognitive assessments with blood‐based biomarkers holds promise for both sensitive and scalable detection of early AD‐related cognitive changes.