Artwork

内容由Zühlke提供。所有播客内容(包括剧集、图形和播客描述)均由 Zühlke 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Player FM -播客应用
使用Player FM应用程序离线!

Will AI and digital twins make animal testing in drug discovery obsolete with Professor Julie Frearson

23:32
 
分享
 

Manage episode 518833534 series 3456968
内容由Zühlke提供。所有播客内容(包括剧集、图形和播客描述)均由 Zühlke 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

AI and digital twins are redrawing the boundaries of drug discovery. Once defined by lab benches, animal studies, and years of trial and error, the field is now embracing virtual methodologies that promise faster, safer, and more precise innovation. But could these technologies ever make animal testing obsolete?

In this episode of Tech Tomorrow, David Elliman speaks with Professor Julie Frearson, SVP and Chief Scientific Officer at Charles River Laboratories, about how artificial intelligence is transforming early-stage drug discovery. Julie explains how AI is already accelerating small-molecule design and enabling the use of virtual control animals, reducing the need for live testing without compromising scientific integrity.

They also unpack the growing challenges of explainability, bias, and regulation in AI-driven science. From ensuring transparency and accountability in complex models to understanding how regulators like the FDA are beginning to accept hybrid data sets that combine in vivo results with AI predictions, the discussion balances optimism with realism in a rapidly evolving field.

Ultimately, Professor Julie and David agree that while AI is reshaping discovery, humans must remain firmly in the loop. For now, it is the only way to ensure that innovation remains both ethical, trustworthy, and safe.

Episode Highlights:

01:31 – Areas of drug discovery already transformed by AI and digital twins.

03:25 – Digital twins in animal testing and the creation of “virtual animals.”

05:50 – David’s thoughts: What executives often get wrong about digital twins.

07:30 – How digital twins accurately recreate parts of animals.

10:11 – How regulation currently views AI models in drug discovery.

13:30 – The timeline for regulators to become more comfortable with hybrid data sets.

14:37 – David’s thoughts: How ‘black box’ AI processes create challenges, and how to address them.

16:31 – The role of humans in the drug discovery loop.

17:37 – Will technology outpace regulation?

20:34 – Could AI and digital twins make animal testing in drug discovery obsolete?


About Zühlke:
Zühlke is a global transformation partner, with engineering and innovation at its core. We help clients envision and build their businesses for the future – running smarter today while adapting for tomorrow’s markets, customers, and communities.

Our multidisciplinary teams specialise in technology strategy and business innovation, digital solutions and applications, and device and systems engineering. We thrive in complex, regulated sectors such as healthcare and finance, connecting strategy, implementation, and operations to help clients build more effective and resilient businesses.

Links:

  continue reading

25集单集

Artwork
icon分享
 
Manage episode 518833534 series 3456968
内容由Zühlke提供。所有播客内容(包括剧集、图形和播客描述)均由 Zühlke 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

AI and digital twins are redrawing the boundaries of drug discovery. Once defined by lab benches, animal studies, and years of trial and error, the field is now embracing virtual methodologies that promise faster, safer, and more precise innovation. But could these technologies ever make animal testing obsolete?

In this episode of Tech Tomorrow, David Elliman speaks with Professor Julie Frearson, SVP and Chief Scientific Officer at Charles River Laboratories, about how artificial intelligence is transforming early-stage drug discovery. Julie explains how AI is already accelerating small-molecule design and enabling the use of virtual control animals, reducing the need for live testing without compromising scientific integrity.

They also unpack the growing challenges of explainability, bias, and regulation in AI-driven science. From ensuring transparency and accountability in complex models to understanding how regulators like the FDA are beginning to accept hybrid data sets that combine in vivo results with AI predictions, the discussion balances optimism with realism in a rapidly evolving field.

Ultimately, Professor Julie and David agree that while AI is reshaping discovery, humans must remain firmly in the loop. For now, it is the only way to ensure that innovation remains both ethical, trustworthy, and safe.

Episode Highlights:

01:31 – Areas of drug discovery already transformed by AI and digital twins.

03:25 – Digital twins in animal testing and the creation of “virtual animals.”

05:50 – David’s thoughts: What executives often get wrong about digital twins.

07:30 – How digital twins accurately recreate parts of animals.

10:11 – How regulation currently views AI models in drug discovery.

13:30 – The timeline for regulators to become more comfortable with hybrid data sets.

14:37 – David’s thoughts: How ‘black box’ AI processes create challenges, and how to address them.

16:31 – The role of humans in the drug discovery loop.

17:37 – Will technology outpace regulation?

20:34 – Could AI and digital twins make animal testing in drug discovery obsolete?


About Zühlke:
Zühlke is a global transformation partner, with engineering and innovation at its core. We help clients envision and build their businesses for the future – running smarter today while adapting for tomorrow’s markets, customers, and communities.

Our multidisciplinary teams specialise in technology strategy and business innovation, digital solutions and applications, and device and systems engineering. We thrive in complex, regulated sectors such as healthcare and finance, connecting strategy, implementation, and operations to help clients build more effective and resilient businesses.

Links:

  continue reading

25集单集

كل الحلقات

×
 
Loading …

欢迎使用Player FM

Player FM正在网上搜索高质量的播客,以便您现在享受。它是最好的播客应用程序,适用于安卓、iPhone和网络。注册以跨设备同步订阅。

 

快速参考指南

版权2025 | 隐私政策 | 服务条款 | | 版权
边探索边听这个节目
播放