Machine Learning for Antibody Lead Optimization: Tips for 2026

This session explores how artificial intelligence is transforming antibody discovery by integrating machine learning with cross-species biology, from traditional mouse models to human translations and unique camel-derived antibodies. The discussion highlights AI-driven approaches that enable targeting previously undruggable receptors, accelerate lead optimization, and expand the therapeutic landscape for cancer, infectious diseases, and immune-mediated conditions.

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