Pilot #3: Integration of multiple sources towards personalised preventions

Early diagnosis of dementia is crucial for effective intervention. This study focuses on using biomarkers from cerebrospinal fluid, blood, neuropsychological tests, neuroimaging, and digital speech processing to predict dementia in individuals with MCI. By integrating these data, high-risk individuals can be identified for personalised prevention plans.

Keys

Key outcomes include over 30% improvement in quality of life, over 50% improvement in user satisfaction, and over 15% improvement in physical and cognitive functioning.
Cluster
Cluster #A – Study of causal risk factors towards early diagnosis and primary prevention of dementia at community level
Manager
Ace Alzheimer Center Barcelona
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