Skip to main content
Loading

Developing a high-throughput early developability package to support the pipeline and AI model training

29 Apr 2026
Upstream Development
  • How can we meet the growing demand for early developability assessment across expanding pipelines?
  • What strategies enable testing more clones earlier in discovery without compromising data quality or throughput?
  • How can AI model training be accelerated through increased early developability data generation?
  • Which assays best predict downstream CMC (Chemistry, Manufacturing, and Controls) risks?
  • How do we balance assay predictivity vs. throughput in early-stage screening?
  • What criteria determine whether an assay is suitable for automation or high-throughput developability (HTD) workflows?
Industry Expert
Gilad Kaplan, Director of Protein Analytics and Developability for Biologics Engineering, R&D team lead - AstraZeneca