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Digital biomarkers for Alzheimer's disease: the mobile/ wearable devices opportunity
Lampros C Kourtis1,2,3, Oliver B Regele3,4, Justin M Wright3,5
1Clinical & Translational Science Institute, Tufts University Medical Center, 800 Washington St, Boston, MA 02111, USA.
Abstract:
Alzheimer's Disease (AD) represents a major and rapidly growing burden to the healthcare ecosystem. A growing body of evidence indicates that cognitive, behavioral, sensory, and motor changes may precede clinical manifestations of AD by several years. Existing tests designed to diagnose neurodegenerative diseases, while well-validated, are often less effective in detecting deviations from normal cognitive decline trajectory in the earliest stages of the disease. In the quest for gold standards for AD assessment, there is a growing interest in the identification of readily accessible digital biomarkers, which harness advances in consumer grade mobile and wearable technologies. Topics examined include a review of existing early clinical manifestations of AD and a path to the respective sensor and mobile/wearable device usage to acquire domain-centric data towards objective, high frequency and passive digital phenotyping.