The project aims to implement innovative processes and support services for the early diagnosis of Parkinson’s disease and Alzheimer’s dementia and specific motor, behavioural and/or mnestic disorders that characterise these diseases.
Neuromeasures is part of an innovative scientific framework with the aim of integrating current knowledge of biomarkers that help characterise the main clinical symptoms of Parkinson’s disease and Alzheimer’s dementia with knowledge from modern neuroscience that proposes new pathophysiological scenarios.
The aim is to create new behavioural and advanced neuroimaging prototypes, based on ‘Virtual Reality’ technologies and ‘Data Fusion’ methodologies and services, with the aim of extracting diagnostic information related to the diseases under study and to rework the management of innovative processes for the early diagnosis of Parkinson’s disease and Alzheimer’s dementia.
The project will also focus on developing new decision support services for the early diagnosis of Parkinson’s disease and Alzheimer’s dementia through the use of advanced computational tools, with particular reference to Machine Learning techniques.
The expected outcome of this activity will be an innovative product of considerable relevance in clinical practice in terms of a support tool in accurate and early diagnosis processes, based on the identification of new neuroimaging, behavioural and molecular markers.