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תוכן מסופק על ידי AWS Startups. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי AWS Startups או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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#94, Decoding Infant Cries to Enable Timely Interventions with Roberto Iannone from Zoundream

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Manage episode 429354859 series 3291628
תוכן מסופק על ידי AWS Startups. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי AWS Startups או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Imagine if a baby's cries were no longer a mystery, but a window into their needs and well-being. Today we welcome Zoundream to the show, a company focused on transforming infant care through advanced cry analysis. Roberto Iannone, CEO and Founder of Zoundream, joins Alex Merwin, Head of Growth for Healthcare & Life Sciences Startups at AWS, to discuss Zoundream's groundbreaking solution that utilizes AI to analyze infant cries and sounds in real-time, pinpointing reasons such as hunger or tiredness with remarkable accuracy and also detecting digital biomarkers for conditions like autism, with the potential for providing lifelong benefits for babies and their families by enabling earlier diagnosis.

  1. How does Zoundream's AI solution decode baby needs?
    • Zoundream's pioneering AI solution analyzes infant cries to accurately identify needs like hunger or tiredness. This technology has the potential to improve infant care by providing real-time insights into babies' states before they can communicate verbally.
  2. What progress has Zoundream made in autism early detection?
    • Remarkably, Zoundream's cry analysis can detect early signs of autism spectrum disorder, enabling timely interventions. This groundbreaking application highlights the potential of vocal biomarkers in diagnosing developmental conditions.
  3. How did Zoundream involve healthcare professionals in developing their solution?
    • From the outset, Zoundream involved pediatricians and neuropsychologists to ensure their solution addressed valuable clinical applications. This collaborative approach was crucial in building credibility and onboarding hospital partners for data gathering.
  4. What motivated Roberto Iannone's transition from corporate to entrepreneurship?
    • Roberto Iannone transitioned from a corporate career to entrepreneurship, driven by the autonomy of being a founder/CEO. This pivotal decision enabled him to pursue his vision of transforming infant care globally.
  5. What is Zoundream's approach to regulatory compliance for clinical adoption?
    • Recognizing the regulatory requirements for clinical applications, Zoundream meticulously tests and versions their AI models.

Learn more about Zoundream here to understand how their innovative solution is transforming infant care.

Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.

Please take a moment and let us know what you think of the podcast, access our feedback survey here.

  continue reading

117 פרקים

Artwork
iconשתפו
 
Manage episode 429354859 series 3291628
תוכן מסופק על ידי AWS Startups. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי AWS Startups או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Imagine if a baby's cries were no longer a mystery, but a window into their needs and well-being. Today we welcome Zoundream to the show, a company focused on transforming infant care through advanced cry analysis. Roberto Iannone, CEO and Founder of Zoundream, joins Alex Merwin, Head of Growth for Healthcare & Life Sciences Startups at AWS, to discuss Zoundream's groundbreaking solution that utilizes AI to analyze infant cries and sounds in real-time, pinpointing reasons such as hunger or tiredness with remarkable accuracy and also detecting digital biomarkers for conditions like autism, with the potential for providing lifelong benefits for babies and their families by enabling earlier diagnosis.

  1. How does Zoundream's AI solution decode baby needs?
    • Zoundream's pioneering AI solution analyzes infant cries to accurately identify needs like hunger or tiredness. This technology has the potential to improve infant care by providing real-time insights into babies' states before they can communicate verbally.
  2. What progress has Zoundream made in autism early detection?
    • Remarkably, Zoundream's cry analysis can detect early signs of autism spectrum disorder, enabling timely interventions. This groundbreaking application highlights the potential of vocal biomarkers in diagnosing developmental conditions.
  3. How did Zoundream involve healthcare professionals in developing their solution?
    • From the outset, Zoundream involved pediatricians and neuropsychologists to ensure their solution addressed valuable clinical applications. This collaborative approach was crucial in building credibility and onboarding hospital partners for data gathering.
  4. What motivated Roberto Iannone's transition from corporate to entrepreneurship?
    • Roberto Iannone transitioned from a corporate career to entrepreneurship, driven by the autonomy of being a founder/CEO. This pivotal decision enabled him to pursue his vision of transforming infant care globally.
  5. What is Zoundream's approach to regulatory compliance for clinical adoption?
    • Recognizing the regulatory requirements for clinical applications, Zoundream meticulously tests and versions their AI models.

Learn more about Zoundream here to understand how their innovative solution is transforming infant care.

Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.

Please take a moment and let us know what you think of the podcast, access our feedback survey here.

  continue reading

117 פרקים

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