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Advancing the Diagnosis and Prognosis of ALS from Speech


Individuals Diagnosed or Probable with Amyotrophic Lateral Sclerosis (ALS) and Healthy Participants

to help give 5 speech recordings with total 75 minutes over 5 months 

Our IRB approved study is motivated by the need for early detection and improved prognostic accuracy of ALS using advanced computational technology and speech data (audio, video). By participating in this study, you will contribute to a growing large ALS dataset and further advance current knowledge relating to the decline in speech due to ALS while also improving the performance of this technology.
The approach will be to perform analysis of ​online audio/video recordings: ​The study activity involves the use of Inc.’s web-based software that collects speech audio and video data and then uses AI and machine learning algorithms to analyze facial and speech metrics. Data collection can be conducted anywhere you feel comfortable (e.g., your home). One session per month over 5 months, and each session will last approximately fifteen minutes. 

Meet Amazing Vivian Rojas Diagnosed with ALS in 2018

If you are interested in the study,
please contact us
I am interested to participate in
Are you enrolled in PREVENT ALS Study (DIALS Network at MGH/WashU or ALS Families Study at Columbia University)?

For more information click here.

Do you use Assistive Devices ?
Breathing Device

Protocol Number: 2020-06-PI42 | Sponsor: Peter Cohen Foundation

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