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Leveraging Data to Scale Drug Development Globally - with Damion Nero of Takeda

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Manage episode 486945812 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 Damion Nero, Head of Data Science at Takeda Pharmaceuticals. With over 15 years of experience applying AI, machine learning, and real-world data to drug development and precision medicine, Damion joins Emerj Managing Editor Matthew DeMello to explore the evolving role of AI in drug development and supply chain management. He breaks down how AI is currently streamlining administrative and regulatory tasks, improving efficiency across clinical trials, and saving valuable time for healthcare professionals. Damion also discusses why broader, transformative supply chain efficiencies are still on the horizon, as AI continues to evolve and scale in the pharmaceutical industry. This episode is sponsored by Arkestro. Learn more about Arkestro’s upcoming Advisory Council event here. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

  continue reading

963 episodes

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iconShare
 
Manage episode 486945812 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 Damion Nero, Head of Data Science at Takeda Pharmaceuticals. With over 15 years of experience applying AI, machine learning, and real-world data to drug development and precision medicine, Damion joins Emerj Managing Editor Matthew DeMello to explore the evolving role of AI in drug development and supply chain management. He breaks down how AI is currently streamlining administrative and regulatory tasks, improving efficiency across clinical trials, and saving valuable time for healthcare professionals. Damion also discusses why broader, transformative supply chain efficiencies are still on the horizon, as AI continues to evolve and scale in the pharmaceutical industry. This episode is sponsored by Arkestro. Learn more about Arkestro’s upcoming Advisory Council event here. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

  continue reading

963 episodes

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