Ethan Lippmann

• What are the critical gaps in current in vitro BBB models that hinder their predictive accuracy?
• How can we better integrate multiple cell types, including fibroblasts and immune components, to replicate the BBB’s immune environment?
• How can in vitro models better reflect intracellular trafficking and sorting processes critical to BBB transcytosis?
• When and how should complex models be integrated into screening workflows, and how do we balance physiological relevance with scalability?
• What roles can AI and model engineering play in building more predictive BBB platforms and accelerating novel shuttle discovery?

Moderator Feedback & Audience Debate

Moderators will be assigned to each roundtable to facilitate discussion and collate the findings. Following the roundtable discussions, they will present back to the entire delegation and open a wider audience debate.

• Evaluate limitations of current cell sources and strategies toimprove BBB model fidelity
• Explore how multi-cellular enhances physiological relevance
• Highlight emerging assays and engineering tools that improvedrug delivery assessment across in vitro BBB models