This webinar explores the pivotal role of patent data in overcoming the data challenges faced by generative AI models in drug discovery, particularly for biologics. Watch now.
The advent of generative AI models like ChatGPT has ignited a wave of excitement across various industries, including drug discovery. However, while these models have been trained on massive datasets, the world of AI in drug discovery, particularly for biologics, faces a significant data challenge. The limited availability of high-quality, FAIR-compliant data, both internally and externally, hinders the full potential of AI in accelerating drug development.
This webinar will delve into the critical role of patent data in fueling the AI drug discovery revolution. We will explore how to systematically mine and extract valuable information from patents, despite their notoriously unstructured and non-standardized nature. Through case studies in antibodies and RNAi, we will highlight the significant challenges and opportunities in leveraging patent data to drive innovation in biologics discovery.
Panelist
Sam Winders | Account Director - Life Sciences | Patsnap
Sam is the lead representative for the healthcare and life sciences team at Patsnap. One of the organization’s longest serving employees, Sam works closely with our leading customers and the Patsnap product development team to ensure that our customers’ needs our met and that Patsnap continues to rapidly expand the technical frontier within the evolving drug discovery space.
