Accelerating Affinity Maturation with AI & Machine Learning to Shorten Development Timelines & Improve Precision
- Exploring how AI-driven design can shorten traditional affinity maturation cycles and reduce experimental burden
- Questioning whether current AI tools can reliably predict TCR-peptide-HLA interactions
- Defining what success looks like for AI in TCR engineering and the data needed to prove clinical relevance