Driving Drug Targeting Efficiencies with LLMs and GenAI - with Ben Coverdale of Patsnap

Today’s guest is Ben Coverdale, Global Account Director of Life Sciences at Patsnap. Patsnap is a healthcare technology company that provides IP and R&D teams with enhanced insights to make informed and timely decisions. Using a specialized AI model and the Hiro assistant, the platform boosts productivity and reduces inefficiencies across the innovation lifecycle. Ben returns to the show to dive deeper into the real-world applications of generative AI and large language models (LLMs) that are reshaping the drug discovery landscape. He provides a closer look at use cases where AI is not just enhancing traditional processes but enabling entirely new possibilities in drug targeting and sequencing that were previously unimaginable. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!