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The AI in Business Podcast

The Impact of AI on Drug Target Discovery and the Personalization of Healthcare - with Leo Barella of Takeda

Aug 29, 2023
22:00
Snipd AI
Leo Barella, Senior VP and CTO at Takeda, discusses challenges in healthcare, AI in drug targeting development, and emerging healthcare microservices. He emphasizes data quality, lifelong analysis, and medical imaging for personalized therapies. The challenges of rare diseases, personalization in patient experiences, and ethical AI use are also explored.
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Podcast summary created with Snipd AI

Quick takeaways

  • AI in healthcare allows for more focused and personalized solutions based on demographic, climate, and daily activity data.
  • Advancements in data collection and measurement, particularly in imaging, enable the categorization of rare diseases and development of tailored therapies.

Deep dives

AI capabilities and use cases in healthcare and life sciences

The use of AI in healthcare and life sciences is largely dependent on the availability and quality of data. With the emergence of consumer-grade devices generating vast amounts of data about individuals, AI can now be utilized to analyze specific outcomes based on demographics, climate, and day-to-day activities. This data-driven approach allows for more focused and personalized healthcare solutions. Additionally, the improvement in clinical data quality and the adoption of clinical-grade devices further enhance the potential of AI in healthcare. The growth of AI in this field is attributed to advancements in data collection and measurement, leading to the development of prediction models and insights.

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