UNITI results

UNITI project finished in September 2023. It’s overall aim was to deliver a predictive computational model based on existing and longitudinal data attempting to address the question which treatment approach is optimal for a specific patient based on specific parameters. Clinical, epidemiological, medical, genetic and audiological data, including signals reflecting ear-brain communication, were analysed from existing databases. Predictive factors for different patient groups were extracted and their prognostic relevance were tested in a randomized controlled trial (RCT) in which different groups of patients underwent a combination of therapies targeting the auditory and central nervous systems.

Click here to learn more about the UNITI results.

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus

We are happy to announce that we have a new paper published: "Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus" and is available here: https://ieeexplore.ieee.org/document/9564158.

Electronic health records (EHR) often include multiple perspectives on a patient's current state of well-being (e.g. vital signs and subjective indicators measured by questionnaires). In this study, the authors use these perspectives to build phenotypes of chronic tinnitus patients and investigate how these phenotypes are associated with response to treatment.

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Key Facts

Coordinator: Winfried Schlee, University Clinic Regensburg, AG eHealth
Co-Coordinator: Stefan Schoisswohl, University Clinic Regensburg, AG eHealth
Project Network Manager: Susanne Staudinger, University Clinic Regensburg, Center for Neuromodulation
13 coordinating partners, including 5 tinnitus centers
Largest European Clinical Study on Tinnitus to Date
Large European Network of academic, clinical, industrial partners and self-help organisations
Goal: Unification of Treatments and Interventions for Tinnitus Patients
CORDIS database

Data and analysis scripts of the UNITI-RCT results are currently available upon request (stefan.schoisswohl@klinik.uni-regensburg.de).

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