Welcome

to the EU Tinnitus Database.

A large multinational cross-sectional and longitudinal database for clinicians and researchers.

About

Tinnitus is a frequent disorder for which there is yet no reliable treatment available. Many different treatment options have been investigated, however, most trials provided inconclusive results with some patients responding and many others without any benefit. These results suggest that there exist different forms of tinnitus which differ in their pathophysiology and their response to specific treatments. A challenge for tinnitus treatment and tinnitus research is therefore the identification of the most promising therapy for the individual patient. One approach to address this challenge is the systematic assessment of tinnitus patients in many clinical centers with standardized instruments.

With the ESIT project a large team works together in order to create a large standardized database for tinnitus and identify the most promising treatment option for the individual.
The aim of the UNITI project is to develop a predictive computational model based on existing and longitudinal data attempting to address the question, which treatment approach is optimal for a specific patient group based on specific parameters.

How the database works

Team

Jorge Simões

Jorge Simões

University of Regensburg

Department of Psychiatry and Psychotherapy

Winny Schlee

Winny Schlee

University of Regensburg

Department of Psychiatry and Psychotherapy

Susanne Staudinger

Susanne Staudinger

University of Regensburg

Department of Psychiatry and Psychotherapy

Andreas Rein

Andreas Rein

Database and web development

Jan Musmann

Jan Musmann

Database and web development

Contact

If you have questions, feedback or suggestions please don't hesitate to contact us under the following address or mail:

Jorge Simões

Bezirksklinikum Regensburg
Universitätsstrasse 84
93053 Regensburg
jorge.simoesukr.de
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The ESIT project is funded by the European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement No 722046.

The UNITI project is funded by the European Union's Horizon 2020 Research and Innovation Programme, Grant Agreement No 848261.