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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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Indhold leveret af Daniel Faggella. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Daniel Faggella eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

872 episoder

Artwork
iconDel
 
Manage episode 428000161 series 2728612
Indhold leveret af Daniel Faggella. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Daniel Faggella eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

872 episoder

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