Bridge2AI-Voice as a Biomarker of Health
What is this Study about?
The human voice is unique to each individual and contains features that have been linked to diseases such as Parkinson's, mood disorders, and certain cancers. There is an increased interest in using voice in the diagnosis of disease, however current databases are limited in size. The main purpose of the Bridge2AI study is to build a large open science database of human voices, speech and respiratory sounds, other health data, and associated metadata that can be used to fuel artificial intelligence research related to voice. The neurological cohort aims to record speech data of patients with neurological and neurodegenerative conditions.
What Will Happen in This Study?
This study will take place at Mount Sinai Hospital in Toronto, Ontario, Canada. You will be asked to complete a variety of cognitive tests and questionnaires, will have your voice, speech, and respiratory sound data collected, and will be given the Montreal Cognitive Assessment. The whole process for one voice data collection session will take from 75-120 minutes to complete. There is an optional longitudinal study, which includes an additional 3 voice data collection sessions, each taking approximately 75 minutes. There is also an optional genomic study which includes the one-time collection of a small blood sample for whole genome sequencing and blood biomarker analysis.
Who is Eligible to Participate in this Study?
- Between ages of 44-85
- Able to read, write, speak, and understand English
- Be diagnosed with one of the following conditions:
- Alzheimer’s disease
- Parkinson’s disease
- Amyotrophic Lateral Sclerosis
- Mild Cognitive Impairment, or other types of dementia
- Consent to provide a voice/speech sample
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