Sign up to save your podcasts
Or
Share Winterlight Labs' Liam Kaufman on using AI to detect cognitive conditions
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Winterlight Labs' Liam Kaufman on using AI to detect cognitive conditions
In this episode of the Biotechnology Focus Radio, Liam Kaufman, co-founder of Winterlight Labs discusses with us how AI is powering his company’s speech-based diagnostic platform. This platform natural speech to detect and monitor dementia, aphasia, and various cognitive conditions.
About Winterlight Labs:
WinterLight Labs is developing a proprietary AI diagnostic platform that can objectively assess and monitor cognitive health. The company's platform can analyze natural speech to detect and monitor dementia, aphasia, and various cognitive conditions.
Using a short one-minute sample of speech, WinterLight can characterize the speaker's cognitive, acoustic and linguistic state, including lexical diversity, syntactic complexity, semantic content, and articulation.
Using samples of a person’s speech, WinterLight’s platform analyzes hundreds of linguistic cues and can detect dementia of the Alzheimer type and other conditions with accuracies between 82% and 100%, as reported in our peer-reviewed academic studies.
To find out more, click on this link: http://www.winterlightlabs.com/index.html
View all episodes
By Biotechnology FocusIn this episode of the Biotechnology Focus Radio, Liam Kaufman, co-founder of Winterlight Labs discusses with us how AI is powering his company’s speech-based diagnostic platform. This platform natural speech to detect and monitor dementia, aphasia, and various cognitive conditions.
About Winterlight Labs:
WinterLight Labs is developing a proprietary AI diagnostic platform that can objectively assess and monitor cognitive health. The company's platform can analyze natural speech to detect and monitor dementia, aphasia, and various cognitive conditions.
Using a short one-minute sample of speech, WinterLight can characterize the speaker's cognitive, acoustic and linguistic state, including lexical diversity, syntactic complexity, semantic content, and articulation.
Using samples of a person’s speech, WinterLight’s platform analyzes hundreds of linguistic cues and can detect dementia of the Alzheimer type and other conditions with accuracies between 82% and 100%, as reported in our peer-reviewed academic studies.
To find out more, click on this link: http://www.winterlightlabs.com/index.html