Pilot #2: Pattern identification for the development of dementia through analysis of biomarkers

The study aims to collect and identify biomarkers and data related to dementia to predict future cognitive decline in older adults. Non-demented participants concerned about their cognitive status will be recruited. Data collected will include cerebrospinal fluid biomarkers, neuropsychological assessments, medical examinations, MRI, EEG, sleep and activity questionnaires, dietary intake, sleep measures from wearables, and blood samples. This information will help identify biological and lifestyle patterns indicating cognitive decline risk.

Keys

Key outcomes include a 40% improvement in quality of life, identification of over five biomarkers and lifestyle variables, and a 30% improvement in cognitive index.
Cluster
Category #A – Study of causal risk factors towards early diagnosis and primary prevention of dementia at community level
Manager
Medical School of National and Kapodistrian University of Athens

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funded by European Union
Innovate UK

Funded by the European Union (Grant Nº 101137301) and supported by Innovative UK (Grant Nº 10103541) . Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.

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