Leveraging AI for Capsid Engineering to Optimize Delivery & Advance Next-Generation Ophthalmic Gene Therapies
Time: 2:00 pm
day: Pre-Conference Workshop Day
Details:
AI integration in gene therapy requires strategic wet lab-computational coordination and high-quality datasets. Join this workshop to explore practical machine learning implementation for capsid optimization targeting ILM crossing and production efficiency. Discuss emerging frontiers including payload engineering, inflammatory response mitigation, and laboratory automation. Collaborate on navigating AI disease models and regulatory shifts away from animal testing.
Key Discussion Points:
- Implementing AI-driven capsid engineering to optimize ILM crossing and production efficiency in ophthalmic gene therapy
- Coordinating wet lab experimental design with machine learning pipelines to generate high-quality datasets for effective AI integration
- Exploring payload optimization and inflammatory response mitigation to address key hurdles in gene therapy development
- Evaluating emerging AI applications including laboratory automation and disease models to navigate regulatory shifts away from animal testing
