Closing the Knowledge Loop in AI-Powered R&D

Next-generation AI is transforming research and development by enabling:

• Scalable insights from multi-modal datasets
• In silico experimentation powered by machine learning and foundation models
• Generative AI for novel molecule design
• Automated workflows through agentic systems and robotics

These innovations are already accelerating speed and reducing cost in R&D. But beyond efficiency, AI presents a deeper opportunity: advancing scientific understanding of diseases and drugs. By keeping human scientists actively in the loop, AI can provide oversight, foster discovery, and open entirely new therapeutic avenues.

In this session, we will explore how modern AI tools can “close the knowledge loop”—moving from automation and efficiency toward true scientific insight and discovery.