AI-based Analyses of Disease Symptoms
EU privacy-compliant voice biomarker research platform for faster diagnosis of health conditions.
Voice AI company “Audeering” has developed AI SoundLab, a DSGVO-compliant online platform that enables the identification of health conditions based on parameters of the human voice. The solution has already been used for corona symptom analysis. Healthcare professionals should be able to use the AI technology-enriched data for faster diagnosis and to reposition, evaluate, and expand therapeutic approaches. The AI technology is already being used by several companies in the pharmaceutical and research sectors.
Voice sample analysis
The platform and voice data are used to research the expression of a wide variety of disease patterns in the human voice based on validated and standardized voice tests. The aim is to detect biomarkers – measurable and objectively assessable indicators of the presence or severity of a disease state – for diverse clinical pictures, especially in the neurodegenerative and psychological fields, by analyzing the voice samples provided. In addition, it should also be possible to analyze the long-term development and change of various disease processes and interventions during therapy.
Based on AI SoundLab, applications will be enabled that allow non-invasive, efficient and fast screening as well as support for diagnostics. Exemplary of this are the markers that Audeering identified for COVID-19 in the first Corona Wave 2020. In recent years, the company has also been able to identify indicators in voice for neurodegenerative disorders such as Parkinson’s disease and mental illness.
Clinical trial with universities
Currently, Audeering is conducting clinical trial data collection with national and international institutes and universities. Various voice biomarkers associated with neurodegenerative and mental diseases are being investigated and validated, based on motor, cognitive, physical characteristics as well as psychological states.
