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AI-assisted antibody lead selection: balancing predictions, biological function, and developability to streamline development

09 Feb 2027
Lead Identification & Optimization
  • Where AI adds practical value in selecting antibody leads and prioritizing engineering changes.
  • How to weigh conflicting predictions for affinity, specificity, immunogenicity, and developability alongside experimental evidence.
  • How to design experiments that test predictions and guide the next engineering cycle.
  • How to assess whether AI improves candidate quality and reduces experimental effort and development time.
Industry Expert
Andrew Skora, Co-Founder and Senior Director of Research and Development - AbVir Biotherapeutics