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AI in Biopharma Innovation and Regulatory Challenges - with Nishtha Jain of Takeda Pharmaceuticals
Manage episode 473178748 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella 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://staging.podcastplayer.com/legal.
Today’s guest is Nishtha Jain, Head of Innovation and Digital Technology at Takeda Pharmaceuticals. Nistha returns to the program to discuss the transformative impact of AI across the pharmaceutical value chain. She and Emerj Editorial Director Matthew DeMello explore how AI is improving drug development efficiency, addressing data challenges, and overcoming regulatory hurdles. She highlights key breakthroughs like Google DeepMind’s AlphaFold and AI-assisted clinical trial optimization, emphasizing the potential for faster, more cost-effective drug development. The discussion also covers the challenges of AI adoption, including data accessibility, regulatory compliance, and ethical considerations like bias in AI models. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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Manage episode 473178748 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella 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://staging.podcastplayer.com/legal.
Today’s guest is Nishtha Jain, Head of Innovation and Digital Technology at Takeda Pharmaceuticals. Nistha returns to the program to discuss the transformative impact of AI across the pharmaceutical value chain. She and Emerj Editorial Director Matthew DeMello explore how AI is improving drug development efficiency, addressing data challenges, and overcoming regulatory hurdles. She highlights key breakthroughs like Google DeepMind’s AlphaFold and AI-assisted clinical trial optimization, emphasizing the potential for faster, more cost-effective drug development. The discussion also covers the challenges of AI adoption, including data accessibility, regulatory compliance, and ethical considerations like bias in AI models. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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Similar to The AI in Business Podcast
Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
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continue reading
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