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#89, Accelerating Drug R&D, Part One of the Health Innovation Compilation Series

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Το περιεχόμενο παρέχεται από το AWS Startups. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον AWS Startups ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.

Pushing the boundaries of drug research and development, visionary companies are harnessing the power of engineering, artificial intelligence, and novel technologies to revolutionize how we discover and design new therapies. In this compilation episode, we explore the cutting-edge approaches of VivoDyne (Andrei Georgescu, CEO), Seer (Serafim Batzoglou, Chief Data Officer), Ordaōs (Dave Longo, CEO), Insilico Medicine (Alex Zhavoronkov, Founder and CEO), and Alchemab Therapeutics (Young Kwon, PhD, CEO).

1. How is VivoDyne's microfluidic bioengineering platform revolutionizing drug research?

  • VivoDyne's platform enables growing tens of thousands of human tissue samples at scale, providing precise control over microenvironments to study complex cell interactions and dynamics that drive disease.
  • This approach overcomes limitations of simplistic cell cultures and animal models, bridging the gap between preclinical results and human responses.

2. What makes Seer's approach to proteomics so powerful?

  • Seer develops nanoparticle technologies that enable unbiased, deep, and large-scale access to the proteome, the full set of proteins in the body.
  • Their approach detects 8x more proteins than conventional methods, unlocking insights into complex biological systems and paving the way for new diagnostic and therapeutic breakthroughs.

3. How are Ordaōs' "mini-proteins" transforming drug development?

  • Ordaos designs "mini-proteins" from scratch, combining advantages of small molecules and antibodies for optimal drug properties like stability, tumor penetration, and oral delivery.
  • Their AI models complex biological systems to engineer these powerful therapeutic candidates, tackling the high failure rates and costs of traditional drug development.

4. How is Insilico Medicine leveraging generative AI to reimagine drug discovery?

  • Insilico Medicine leverages generative AI like generative adversarial networks (GANs) to accelerate the traditionally slow and costly drug discovery process.
  • Their AI-driven approach generates novel small molecule candidates with desired properties, aiming to transform pharmaceutical R&D.

5. What is unique about Alchemab Therapeutics' approach to developing antibody therapies?

  • Alchemab Therapeutics identifies protective antibodies from resilient patient populations, using machine learning to find rare sequences and predict functional antibodies against hard-to-treat diseases like Alzheimer's and cancers.
  • Their AI-powered platform accelerates antibody therapy development by combining machine learning with experimental validation.

Companies featured in this compilation:

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

100 επεισόδια

Artwork
iconΜοίρασέ το
 
Manage episode 422089205 series 3291628
Το περιεχόμενο παρέχεται από το AWS Startups. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον AWS Startups ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.

Pushing the boundaries of drug research and development, visionary companies are harnessing the power of engineering, artificial intelligence, and novel technologies to revolutionize how we discover and design new therapies. In this compilation episode, we explore the cutting-edge approaches of VivoDyne (Andrei Georgescu, CEO), Seer (Serafim Batzoglou, Chief Data Officer), Ordaōs (Dave Longo, CEO), Insilico Medicine (Alex Zhavoronkov, Founder and CEO), and Alchemab Therapeutics (Young Kwon, PhD, CEO).

1. How is VivoDyne's microfluidic bioengineering platform revolutionizing drug research?

  • VivoDyne's platform enables growing tens of thousands of human tissue samples at scale, providing precise control over microenvironments to study complex cell interactions and dynamics that drive disease.
  • This approach overcomes limitations of simplistic cell cultures and animal models, bridging the gap between preclinical results and human responses.

2. What makes Seer's approach to proteomics so powerful?

  • Seer develops nanoparticle technologies that enable unbiased, deep, and large-scale access to the proteome, the full set of proteins in the body.
  • Their approach detects 8x more proteins than conventional methods, unlocking insights into complex biological systems and paving the way for new diagnostic and therapeutic breakthroughs.

3. How are Ordaōs' "mini-proteins" transforming drug development?

  • Ordaos designs "mini-proteins" from scratch, combining advantages of small molecules and antibodies for optimal drug properties like stability, tumor penetration, and oral delivery.
  • Their AI models complex biological systems to engineer these powerful therapeutic candidates, tackling the high failure rates and costs of traditional drug development.

4. How is Insilico Medicine leveraging generative AI to reimagine drug discovery?

  • Insilico Medicine leverages generative AI like generative adversarial networks (GANs) to accelerate the traditionally slow and costly drug discovery process.
  • Their AI-driven approach generates novel small molecule candidates with desired properties, aiming to transform pharmaceutical R&D.

5. What is unique about Alchemab Therapeutics' approach to developing antibody therapies?

  • Alchemab Therapeutics identifies protective antibodies from resilient patient populations, using machine learning to find rare sequences and predict functional antibodies against hard-to-treat diseases like Alzheimer's and cancers.
  • Their AI-powered platform accelerates antibody therapy development by combining machine learning with experimental validation.

Companies featured in this compilation:

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

100 επεισόδια

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