The Hunt For New Drugs

The transcript discusses the integration of AI and data science in drug research and development, highlighting specific applications like machine learning and natural language processing. It covers the challenges faced, such as data quality and talent acquisition, and explores the potential future impacts of AI on drug discovery. The discussion also touches on the differences between large pharma companies and smaller, tech-driven firms in adopting these technologies.

What are the implications of using wearables in clinical trials as discussed?

What is the importance of data engineering in the context of drug R&D?

How do the speakers suggest overcoming the talent shortage in data science for drug R&D?

What future developments do the speakers anticipate in drug discovery due to advancements in AI?