Large Language Models (LLMs) are moving far beyond text generation—and into the heart of scientific discovery and pharmaceutical research. In this episode, Javier Tordable, founder and CEO of Pauling.ai and former Google technologist, explains how agentic AI systems are transforming early-stage drug discovery.Javier shares how modern LLMs differ from earlier generations, highlighting their ability to perform autonomous, multi-step scientific workflows rather than isolated t...
Large Language Models (LLMs) are moving far beyond text generation—and into the heart of scientific discovery and pharmaceutical research. In this episode, Javier Tordable, founder and CEO of Pauling.ai and former Google technologist, explains how agentic AI systems are transforming early-stage drug discovery.
Javier shares how modern LLMs differ from earlier generations, highlighting their ability to perform autonomous, multi-step scientific workflows rather than isolated tasks. These AI agents can read and synthesize massive volumes of scientific literature, generate novel hypotheses, validate ideas against published research, and accelerate computational chemistry simulations that once took months or years.
The discussion dives into how LLMs are being used today to identify drug targets, design molecules, optimize clinical trials, and reduce manual scientific labor, while still preserving the critical role of human creativity and experimental validation. Javier also addresses the real risks—hallucinations, data quality, reproducibility—and why hybrid AI + physics-based approaches are essential for trustworthy results.
This episode is a must-listen for researchers, founders, and operators exploring LLMs in biotech, pharma AI, scientific automation, and computational drug discovery.
Topics Covered- Large Language Models (LLMs) in science and pharma
- AI agents and autonomous research workflows
- Early-stage drug discovery acceleration
- Computational chemistry and molecular simulations
- AI-assisted literature review and hypothesis generation
- Clinical trial optimization with AI
- Reducing R&D timelines and operational bottlenecks
- Risks, hallucinations, and validation in scientific AI
About the Podcast
AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.
This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.
AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.
As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.
This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.
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