Everyday AI Podcast – An AI and ChatGPT Podcast EP 477: Putting patients first with medical AI
6 snips
Mar 7, 2025 
Lina Nilsson, SVP at Recursion, discusses how generative AI is revolutionizing the medical field. She highlights innovative drug discovery techniques using CRISPR and machine learning, aimed at expediting therapies for genetic diseases. The conversation addresses the high costs and inefficiencies in drug development, advocating for data-driven methodologies. Lina also shares bold predictions about AI's potential to improve patient care and forecasts significant advancements in healthcare, including the possibility of extending human lifespans.
AI Snips
Chapters
Transcript
Episode notes
Drug Discovery Challenges and Opportunities
- Drug discovery is slow and expensive, costing $2.5B and taking over a decade.
- New technologies like CRISPR and AI offer hope for faster, cheaper drug development.
Data-Driven Drug Discovery
- Traditional drug discovery often involves pursuing narrow hypotheses and discarding data from failed attempts.
- New companies like Recursion prioritize data retention and cross-referencing for a more efficient approach.
Patient Impact of Faster Drug Discovery
- A patient shared how timely diagnosis and treatment saved his life, highlighting the importance of faster drug development.
- Reducing costs and improving drug efficacy are key benefits of AI in healthcare.