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Personalised Medicine in the Identification of Preclinical Cognitive Impairment. Development of a Predictive Risk Model
The goal of this observational study is to use the combined power of the integration of clinical, molecular, proteomic, genomic, care, social, environmental and behavioural data in patients, using advanced artificial intelligence techniques for data processing and analysis, in order to generate predictive models for the preclinical detection of CI in the population aged 55-70 years.
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