| Content Day 1 | |
| 08:30–09:00 | Welcome, Primer and Agenda |
| 09:00–10:00 | Key Terms and Use Case Examples: From Data Science to Generative AI |
| 10:00–11:00 | Ethical Principles and Trustworthy AI |
| 11:00–11:15 | Coffee Break |
| 11:15–12:00 | Common Challenges in AI Adoption in the Life Science Area |
| 12:00–13:00 | Lunch Break |
| 13:00–13:45 | Overview of the Regulatory Landscape |
| 13:45–14:45 | Development Approach and System Life Cycle |
| 14:45–15:00 | Coffee Break |
| 15:00–15:45 | Quality Management and the Role of Quality |
| 15:45–16:30 | Dual Impact of AI on CSV Activities |
| 16:30–17:00 | Open Q&A and Closure |
| Content Day 2 | |
| 08:30–08:50 | Intro Day 2 and Brief Recap |
| 08:50–09:50 | AI Quality Risk Management |
| 09:50–10:50 | Specification, Verification and Documentation |
| 10:50–11:05 | Coffee Break |
| 11:05–12:00 | Data for AI in Life Sciences: Quality, Integrity, and Governance |
| 12:00–13:00 | Lunch Break |
| 13:00–14:00 | Generative and Agentic AI |
| 14:00–14:45 | Supplier Collaboration and Management |
| 14:45–15:00 | Coffee Break |
| 15:00–15:45 | Leading AI in Life Sciences |
| 15:45–16:15 | Open Q&A, Recap and Closure |