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How AI Can Increase Clinical Trial Efficiency with Patrick Leung from Faro Health

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Manage episode 472304105 series 3526491
Content provided by CorrDyn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CorrDyn 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.

How can AI improve clinical trials and accelerate drug development?

In this episode of Data in Biotech, Ross Katz sits down with Patrick Leung, CTO of Faro Health, to explore how AI-driven tools are reshaping clinical trial design. Patrick shares insights into document generation, patient burden analysis, and AI governance in biotech.

Learn how Faro Health is developing clinical protocols and leveraging AI to optimize trial success while ensuring regulatory compliance. Whether you're in biotech or healthcare, this conversation offers valuable takeaways on the future of AI in increasing clinical trial efficiency.

What You'll Learn in This Episode:

  • How AI is used to generate clinical trial protocols and reduce inefficiencies.
  • The role of AI in assessing patient burden and optimizing trial designs.
  • How data model development enables specialized biomedical AI workflows.
  • How large language models (LLMs) support clinical trial automation.
  • Future trends in AI-driven clinical trial optimization.

Links:

Connect with Patrick Leung on LinkedIn: https://www.linkedin.com/in/puiwah/

Meet Our Guest:

Patrick Leung is the Chief Technology Officer at Faro Health, where he leads AI-driven innovations in clinical trial design. With a background in data science and software engineering from companies like Google and Two Sigma, Patrick brings a fresh perspective to life sciences, focusing on optimizing clinical trials through AI and structured data models.

About the Host:

Ross Katz is the Principal and Data Science Lead at CorrDyn, specializing in applying data science to biotech and healthcare. As the host of Data in Biotech, Ross explores the latest trends and innovations shaping the industry.

Enjoying the Show? Visit Faro Health to learn more about AI-driven clinical trial optimization. Don’t forget to rate and review Data in Biotech on Apple Podcasts!

Sponsored by CorrDyn

This episode is brought to you by CorrDyn, a leader in data-driven solutions for biotech and healthcare. Learn more at CorrDyn.

  continue reading

42 episodes

Artwork
iconShare
 
Manage episode 472304105 series 3526491
Content provided by CorrDyn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CorrDyn 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.

How can AI improve clinical trials and accelerate drug development?

In this episode of Data in Biotech, Ross Katz sits down with Patrick Leung, CTO of Faro Health, to explore how AI-driven tools are reshaping clinical trial design. Patrick shares insights into document generation, patient burden analysis, and AI governance in biotech.

Learn how Faro Health is developing clinical protocols and leveraging AI to optimize trial success while ensuring regulatory compliance. Whether you're in biotech or healthcare, this conversation offers valuable takeaways on the future of AI in increasing clinical trial efficiency.

What You'll Learn in This Episode:

  • How AI is used to generate clinical trial protocols and reduce inefficiencies.
  • The role of AI in assessing patient burden and optimizing trial designs.
  • How data model development enables specialized biomedical AI workflows.
  • How large language models (LLMs) support clinical trial automation.
  • Future trends in AI-driven clinical trial optimization.

Links:

Connect with Patrick Leung on LinkedIn: https://www.linkedin.com/in/puiwah/

Meet Our Guest:

Patrick Leung is the Chief Technology Officer at Faro Health, where he leads AI-driven innovations in clinical trial design. With a background in data science and software engineering from companies like Google and Two Sigma, Patrick brings a fresh perspective to life sciences, focusing on optimizing clinical trials through AI and structured data models.

About the Host:

Ross Katz is the Principal and Data Science Lead at CorrDyn, specializing in applying data science to biotech and healthcare. As the host of Data in Biotech, Ross explores the latest trends and innovations shaping the industry.

Enjoying the Show? Visit Faro Health to learn more about AI-driven clinical trial optimization. Don’t forget to rate and review Data in Biotech on Apple Podcasts!

Sponsored by CorrDyn

This episode is brought to you by CorrDyn, a leader in data-driven solutions for biotech and healthcare. Learn more at CorrDyn.

  continue reading

42 episodes

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