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Driving Efficiencies Across the Life Sciences Value Chain with AI in Drug Development - with Nishtha Jain of Takeda

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Manage episode 428000161 series 2728612
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://player.fm/legal.

Today’s guest is Nishtha Jain, Head of Innovation and Digital Technology at Takeda Pharmaceuticals. Her role expands across Global R&D Quality in driving digital and data initiatives from concept to execution, leveraging emerging technologies and design principles. She joins us on the podcast today to talk about the efficiencies that AI can drive in the drug development space and how that benefits the entire value chain in life sciences. 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!

  continue reading

836 episodes

Artwork
iconShare
 
Manage episode 428000161 series 2728612
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://player.fm/legal.

Today’s guest is Nishtha Jain, Head of Innovation and Digital Technology at Takeda Pharmaceuticals. Her role expands across Global R&D Quality in driving digital and data initiatives from concept to execution, leveraging emerging technologies and design principles. She joins us on the podcast today to talk about the efficiencies that AI can drive in the drug development space and how that benefits the entire value chain in life sciences. 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!

  continue reading

836 episodes

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