Combining Real-World Data + AI to Advance Preclinical Research & Early Drug Development
1:30 pm - Wednesday 10th February 2027
- Explore how real-world data and human health insights can be brought into preclinical research to complement traditional animal and laboratory data
- Examine how integrating real-world, clinical, molecular and other data modalities can support disease understanding, patient segmentation, phenotyping and identification of potential target populations
- Share practical examples of how AI, machine learning and emerging agentic approaches are being applied to accelerate research workflows, generate hypotheses and support earlier decision-making across the drug development pipeline
