

Journal Club: Revisiting Eroom's Law
Jul 5, 2020
Explore the fascinating concept of Eroom’s Law, which highlights the rising costs of drug development compared to Moore’s Law. Discover how advancements in AI and data analysis are revolutionizing the industry, making drug creation more efficient. The discussion dives into the evolution of drug approval processes, emphasizing personalized therapies and agile trial methods. Listen as experts analyze recent trends, debating whether the tide is turning against Eroom’s Law and what this means for the future of biopharma.
AI Snips
Chapters
Transcript
Episode notes
Converging Factors in Drug Development
- Three factors are converging to impact drug development productivity.
- These include broader data sets, increased resolution down to single cells, and advanced computation.
Engineering Drug Development
- Escaping Eroom's Law requires engendering a sense of engineering in drug development.
- This involves automation, reproducibility, and using machine learning to analyze data.
AI and Automation in Drug Development
- Interpretable machine learning can reveal not only the answer but also the reasoning behind it.
- Automation can help control costs by reducing reliance on high-end skilled labor.