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

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Контент предоставлен AWS Startups. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией AWS Startups или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.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

110 эпизодов

Artwork
iconПоделиться
 
Manage episode 422089205 series 3291628
Контент предоставлен AWS Startups. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией AWS Startups или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.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

110 эпизодов

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