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75: Can your voice help diagnose diseases? Taking ambient voice tech to the next level with Henry O’Connell from Canary Speech

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Manage episode 473466113 series 1946974
Inhoud geleverd door Dr Vinay Shankar. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Dr Vinay Shankar of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
What if your voice could predict your future health? Today, we’re joined by Henry O’Connell, CEO of Canary Speech, whose ground-breaking AI is changing the way we can diagnose health conditions. With a simple 20-second voice clip, ambient voice technology analysis can detect early signs of Alzheimer’s, Parkinson’s, and mental health conditions. But how does it work? What challenges did Henry face bringing this to life? And could your voice really be the key to a longer, healthier future?

Discover:

AI Meets Healthcare: Discover how Canary Speech uses voice biomarkers to detect neurological disorders like Alzheimer’s and Parkinson’s.

The Science Behind Voice Analysis: Learn how a 20-second speech sample can reveal cognitive and mental health conditions.

From Bagel Shop to Breakthrough: Hear the unexpected story of how this revolutionary idea was born.

Cracking the Code on Early Diagnosis: How Canary Speech is improving detection rates for neurodegenerative diseases.

Industry Power Moves: The role of partnerships with Microsoft, Harvard, and top healthcare institutions.

Tackling AI Challenges: Overcoming biases, regional accents, and privacy concerns in voice-based diagnostics.

The Future of AI in Medicine: What’s next for speech-based biomarkers and healthcare innovation?

Must-Listen Moments: Henry O’Connell shares real-world examples of how this tech is changing lives

Guest: Henry O’Connell
Website: Canary Speech

Host: Dr Vinay Shankar
Website: https://www.oncedaily.co
Podcast: 15 Minutes With The Doctor

  continue reading

75 afleveringen

Artwork
iconDelen
 
Manage episode 473466113 series 1946974
Inhoud geleverd door Dr Vinay Shankar. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Dr Vinay Shankar of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
What if your voice could predict your future health? Today, we’re joined by Henry O’Connell, CEO of Canary Speech, whose ground-breaking AI is changing the way we can diagnose health conditions. With a simple 20-second voice clip, ambient voice technology analysis can detect early signs of Alzheimer’s, Parkinson’s, and mental health conditions. But how does it work? What challenges did Henry face bringing this to life? And could your voice really be the key to a longer, healthier future?

Discover:

AI Meets Healthcare: Discover how Canary Speech uses voice biomarkers to detect neurological disorders like Alzheimer’s and Parkinson’s.

The Science Behind Voice Analysis: Learn how a 20-second speech sample can reveal cognitive and mental health conditions.

From Bagel Shop to Breakthrough: Hear the unexpected story of how this revolutionary idea was born.

Cracking the Code on Early Diagnosis: How Canary Speech is improving detection rates for neurodegenerative diseases.

Industry Power Moves: The role of partnerships with Microsoft, Harvard, and top healthcare institutions.

Tackling AI Challenges: Overcoming biases, regional accents, and privacy concerns in voice-based diagnostics.

The Future of AI in Medicine: What’s next for speech-based biomarkers and healthcare innovation?

Must-Listen Moments: Henry O’Connell shares real-world examples of how this tech is changing lives

Guest: Henry O’Connell
Website: Canary Speech

Host: Dr Vinay Shankar
Website: https://www.oncedaily.co
Podcast: 15 Minutes With The Doctor

  continue reading

75 afleveringen

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