UNITI’s overall aim is to deliver a predictive computational model based on existing and longitudinal data attempting to address the question which treatment approach is optimal for a Tinnitus patient based on specific parameters. Clinical, epidemiological, medical, genetic and audiological data, including signals reflecting ear-brain communication, will be analysed from existing databases. Predictive factors for different patient groups will be extracted and their prognostic relevance will be tested in a randomized controlled trial (RCT) in which different groups of patients will undergo a combination of therapies targeting the auditory and central nervous systems. Sphynx’s role in the project will be to support the integration of heterogeneous databases in a federated (big) data repository and the provision of security assurance for the system to be developed to provide data analytics in the project.
