The AI in Business Podcast Leveraging Data to Scale Drug Development Globally - with Damion Nero of Takeda
Jun 5, 2025
Damion Nero, Head of Data Science at Takeda Pharmaceuticals, shares his extensive experience with AI and machine learning in drug development. He discusses how AI streamlines clinical trials, enhancing efficiency in regulatory processes and saving time for healthcare professionals. Damion highlights the potential for AI to transform supply chains while addressing the complexities of localized drug development for better patient outcomes. He also anticipates significant changes in global supply chains by 2028-2030 amid ongoing political and economic challenges.
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AI Boosts Administrative Efficiency
- AI currently shines in automating repetitive paperwork and administrative tasks in drug development.
- This boosts productivity and lets personnel focus on strategic work rather than routine form-filling.
Supply Chain and Deglobalization Impact
- The pharmaceutical supply chain faces chaos due to shifting global politics and deglobalization.
- Companies must localize sourcing, shorten supply lines, and design drugs for regional populations to adapt.
Data Challenges Amid Political Climate
- The current political climate worsens health data quality due to reduced research funding and rising anti-science movements.
- Despite challenges, passive healthcare data collection remains a growing resource for pharmaceutical companies.