Harnessing AI for Enhanced Biologics Discovery

This chapter explores the role of machine learning in biologics discovery, focusing on the selection of tools for specific challenges. It highlights the measurement of protein-antibody interactions, stability metrics, and the ongoing process of data generation and model refinement to advance therapeutic design.