Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by AWS Startups. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AWS Startups or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

#123, Decoding Immune Cell Behavior to Transform Treatment Discovery with Gregory Vladimer from Graph Therapeutics

19:45
 
Share
 

Manage episode 482627675 series 3291628
Content provided by AWS Startups. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AWS Startups or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The intersection of AI and immunology is revolutionizing how we understand and treat complex immune disorders. In this episode of the AWS Health Innovation Podcast, Mike Tarselli, Specialist Leader for HCLS Data & AI, explores the future of precision immunology with Gregory Vladimer, Scientific Co-Founder & CEO of Graph Therapeutics. Graph's innovative approach combines AI-powered analysis with patient cell behavior to develop targeted therapies for millions affected by immune-mediated diseases.

  1. How does one transition from immunology research to leading a TechBio company?
    • Gregory Vladimer's evolution from bench scientist to CEO reflects the changing landscape of drug discovery leadership, where deep scientific expertise meets technological innovation.
  2. What distinguishes TechBio 3.0 from earlier approaches?
    • Modern TechBio companies like Graph represent a more sophisticated model, combining specialized domain knowledge with strategic tech partnerships to enhance drug discovery capabilities.
  3. How does Graph's approach to precision medicine differ?
    • By leveraging functional perturbation modeling and multi-omics data analysis, Graph applies precision oncology principles to decode and treat complex immune conditions like rheumatoid arthritis and Crohn's disease.
  4. What role does AI play in Graph's drug discovery platform?
    • Advanced machine learning systems analyze complex biological data across multiple endpoints, while maintaining scientific rigor through human-in-the-loop validation processes.
  5. What's the long-term vision for immune disease treatment?
    • Graph focuses on building predictive disease models and a comprehensive target generation engine, prioritizing curative potential over rapid commercialization.

Learn more about Graph Therapeutics at https://graphtx.com/

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

132 episodes

Artwork
iconShare
 
Manage episode 482627675 series 3291628
Content provided by AWS Startups. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AWS Startups or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The intersection of AI and immunology is revolutionizing how we understand and treat complex immune disorders. In this episode of the AWS Health Innovation Podcast, Mike Tarselli, Specialist Leader for HCLS Data & AI, explores the future of precision immunology with Gregory Vladimer, Scientific Co-Founder & CEO of Graph Therapeutics. Graph's innovative approach combines AI-powered analysis with patient cell behavior to develop targeted therapies for millions affected by immune-mediated diseases.

  1. How does one transition from immunology research to leading a TechBio company?
    • Gregory Vladimer's evolution from bench scientist to CEO reflects the changing landscape of drug discovery leadership, where deep scientific expertise meets technological innovation.
  2. What distinguishes TechBio 3.0 from earlier approaches?
    • Modern TechBio companies like Graph represent a more sophisticated model, combining specialized domain knowledge with strategic tech partnerships to enhance drug discovery capabilities.
  3. How does Graph's approach to precision medicine differ?
    • By leveraging functional perturbation modeling and multi-omics data analysis, Graph applies precision oncology principles to decode and treat complex immune conditions like rheumatoid arthritis and Crohn's disease.
  4. What role does AI play in Graph's drug discovery platform?
    • Advanced machine learning systems analyze complex biological data across multiple endpoints, while maintaining scientific rigor through human-in-the-loop validation processes.
  5. What's the long-term vision for immune disease treatment?
    • Graph focuses on building predictive disease models and a comprehensive target generation engine, prioritizing curative potential over rapid commercialization.

Learn more about Graph Therapeutics at https://graphtx.com/

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

132 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play