So What About AI Agents
EP 38 - The Role of AI in Drug Discovery - Javier Tordable from Pauling.AI
15 Sep 2025
KeywordsAI, drug discovery, Pauling.AI, language models, FDA approvals, automation, inhibitors, in silico experiments, agentic prompts, healthcareSummaryIn this conversation, Javier Tordable from Pauling.AI discusses the innovative approach to drug discovery using AI and language models. He explains the mission behind the company, the challenges of FDA approvals, and the automation of literature reviews and simulations. The discussion also covers the importance of inhibitors in drug discovery, the differences between in silico and wet lab experiments, and the need for adaptability in AI models. Tordable emphasizes the significance of the mission in improving healthcare and the potential for partnerships in the drug discovery process.TakeawaysPauling.AI aims to shorten drug discovery time significantly.AI-generated drugs follow the same FDA approval process as traditional drugs.Language models excel at reviewing and summarizing prior research.Automation of initial simulations can save weeks of work.Most drugs developed are inhibitors, which block specific biological processes.In silico experiments are a focus for Pauling.AI, differentiating from wet lab experiments.The risk of hallucinations in AI requires careful management in drug discovery.Adapting to rapid changes in AI models is crucial for success.Human-initiated interactions guide the AI agents' processes.The mission of drug discovery is to improve lives, not just profit.Sound bites"Most drugs are inhibitors.""We focus on in silico experiments.""Human-initiated interaction is key."Chapters00:00 Introduction to Agentic Drug Discovery02:15 The Role of AI in Drug Discovery04:55 Current State of AI-Driven Drug Development07:25 Challenges in Drug Discovery and AI Integration10:04 Optimizing AI Agents for Drug Discovery12:53 Human-AI Collaboration in Drug Discovery15:39 Future of AI in Drug Discovery18:13 Insights and Best Practices for Building AI Agents21:10 The Economics of Drug Discovery23:41 Conclusion and Future Directions
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
Before the Crisis: How You and Your Relatives Can Prepare for Financial Caregiving
06 Dec 2025
Motley Fool Money
Anthropic Finds AI Answers with Interviewer
05 Dec 2025
The Daily AI Show
#2423 - John Cena
05 Dec 2025
The Joe Rogan Experience
Warehouse to wellness: Bob Mauch on modern pharmaceutical distribution
05 Dec 2025
McKinsey on Healthcare
The method of invention, AI's new clock speed and why capital markets are confused
05 Dec 2025
Azeem Azhar's Exponential View
Meta Stock Surges on Plans for Metaverse Cuts
05 Dec 2025
Bloomberg Tech