Leveraging Data to Scale Drug Development Globally - with Damion Nero of Takeda 5m5d

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 s 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 istrative 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 Advisory Council event here. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1. 5b401d