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The AI in Business Podcast
Driving Efficiencies Across the Life Sciences Value Chain with AI in Drug Development - with Nishtha Jain of Takeda
Jul 9, 2024
26:41
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Join Nishtha Jain from Takeda Pharmaceuticals as she explores how AI boosts efficiencies in drug development. Delve into AI's impact on drug discovery, compliance workflows, and data quality in the life sciences sector. Learn about driving AI implementation with executive buy-in and its transformative potential in the industry post-COVID-19.
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Quick takeaways
- AI accelerates drug discovery, reducing time and costs.
- AI enhances clinical trials, improving success rates and patient outcomes.
Deep dives
Efficiencies AI Can Drive in Drug Development
AI holds incredible potential for healthcare by accelerating drug discovery and improving patient outcomes, reducing the time and cost involved in drug development. The pharmaceutical value chain, consisting of drug discovery, clinical research, and FDA review, can take many years and significant costs. AI technologies have shown in real-world examples, such as the accelerated COVID-19 vaccine development, how they can streamline processes, reduce timelines, and improve data quality.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode