The Luxembourg Institute of Health has launched Colive Voice, an innovative international research study aiming to identify vocal biomarkers to improve the monitoring of many serious diseases (cancer, diabetes, COVID-19, multiple sclerosis, inflammatory bowel diseases…) as well as mental health.
Dr Guy Fagherazzi is the principal investigator of Colive Voice, the Predi-COVID cohort study and the World Diabetes Distress Study https://www.colivevoice.org/. He is also the Director of the Department of Precision Health at the Luxembourg Institute of Health (LIH), where he leads the research activity in public health and epidemiology. He is a senior research scientist in Digital Epidemiology with strong expertise in the analysis of large population-based studies using Artificial Intelligence (AI) methods.
Why should you take part in Colive Voice?
By participating in Colive Voice, you will help advance healthcare, diagnosis and risk
prediction by providing a method for remote monitoring of chronic disease using voice.
This voice-based monitoring is non-invasive and allows real-time information sharing with
medical teams (through a mobile application or a medical device for example), which will
ease the lives of patients.
Who can participate?
- Adults and teenagers over 15 years old
- People from all countries
- People with no specific health condition
- People living with cancer or with a history of cancer
- People with diabetes
- People with other serious chronic or infectious diseases
- People with stress, anxiety and depression disorder
How do I participate?
You will need to complete a medical questionnaire and perform five voice recordings online, using our secure web application. You can participate from a smartphone,tablet or a laptop equipped with a microphone.
https://app.colivevoice.org/en/#/welcome
Languages available in Colive Voice
English / French / German / Spanish
Participation is anonymous: we do not collect any data such as your name, e-mail address or telephone number.
Focus diabetes : Monitoring people with diabetes using vocal biomarkers
Fatigue, diabetes distress, diabetes burnout, stress and anxiety are symptoms frequently reported by patients with diabetes.
These symptoms can have an impact – sometimes undetectable by the human ear – on the way you speak. With the identification of vocal biomarkers, these symptoms could soon be easily tracked on your smartphone. Doctors will be able to tailor treatment and care to the patient’s needs and overall health. Patients’ quality of life will be improved by implementing voice monitoring.