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Cracking the Code: How Generative AI Can Solve the Rare Disease Puzzle
Episode 117

Cracking the Code: How Generative AI Can Solve the Rare Disease Puzzle

Digital Health Talks - Changemakers Focused on Fixing Healthcare · Shweta Maniar, Megan Antonelli

October 17, 202435m 29s

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Show Notes

Rare diseases present daunting challenges for researchers and clinicians. With limited data and resources available, developing effective treatments can feel like trying to solve a complex puzzle with missing pieces. However, Shweta Maniar, Director of Global Healthcare & Life Sciences Industry Strategy at Google Cloud, believes there is hope - and it comes in the form of Generative AI.  Listeners will come away with a deeper understanding of how this transformative technology can crack the code of rare diseases and unlock a future of better outcomes for patients in critical need. Copy

  • How this innovative technology can revolutionize rare disease research
  • The unique capabilities of Generative AI models 
  • How they differ from traditional machine learning, enabling breakthroughs in areas like accelerating research, improving patient diagnosis, and streamlining treatment development
  • Real-world case studies demonstrating the impact of Generative AI
  • Ethical considerations that must be navigated

Shweta Maniar, Director of Global Healthcare & Life Sciences Industry Strategy, Google Cloud

Megan Antonelli, Chief Executive Officer, HealthIMPACT Live

Topics

digital healthpatient caredrug discoverytechnology adoptionethical aidiversity in aigenerative aipatient advocacybiomarkerswomen in techhealthcarefuture of medicineartificial intelligencesynthetic datarare diseasesmedical innovationdata privacydiagnosticsgoogle cloudmachine learningpharmaceutical researchdata augmentationpersonalized medicinebioinformatics