Artificial intelligence is fundamentally reshaping the landscape of preclinical research and drug discovery. In this exclusive on-demand webinar, learn how industry leaders are leveraging AI-powered research assistants to accelerate innovation.
Join experts from Bayer, Pfizer, and Thoughtworks as they explore how a Retrieval-Augmented Generation (RAG) methodology transforms knowledge management and research workflows.
The Head of Pharmacology & Safety IT at Bayer AG and the Director of Data Science & Machine Learning at Pfizer will share their insights from real-world applications of AI for drug discovery.
Key topics covered include:
- Challenges and opportunities in optimizing knowledge retrieval, interpretation, and creation in preclinical R&D.
- The technology and methodology behind AI-powered research assistants, including how RAG enables superior data-driven decisions.
- Real-world case studies demonstrating how Bayer and Pfizer implemented these systems to address inefficiencies.
- Practical applications of AI and RAG-based assistants to enhance collaboration and productivity within research teams.
This session provides essential information for pharmaceutical R&D leaders, data scientists, and innovation strategists seeking to harness the capabilities of AI in preclinical research with AI.
Watch now to understand how leading organizations are utilizing advanced AI to define the future of drug discovery.