UNITI results 20231201

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.

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Discovery of patient phenotypesWe 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

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

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