Lab-in-the-Loop: Smarter AI for Antibody Design

How a lab-in-the-loop with deep learning is making better therapeutic antibody designs AI-Driven Lab-in-the-Loop for Smarter Antibody Design Lab-in-the-Loop: Smarter AI for Antibody Design In this webinar, Nathan Frey, Principal Machine Learning Scientist at Genentech’s Prescient Design, will present Lab-in-the-Loop—a semi-autonomous antibody design framework that combines generative machine learning, multi-task property prediction, active learning, and in vitro experimentation. Applied to four clinically relevant targets, this approach delivered significantly improved binding variants and ten candidate leads, including high affinity antibodies. Designing therapeutic antibodies is a complex process, often slowed by costly, time-intensive experimental searches. This webinar introduces Lab-in-the-Loop, a new approach that combines AI-driven design with targeted lab testing to accelerate antibody discovery. By combining generative models, predictive analytics and active learning in an iterative workflow, this method streamlines optimization and reduces experimental burden. Join our expert speaker to discover how this new approach dramatically improved antibody variants and identified strong therapeutic candidates across multiple clinically relevant targets –illustrating how cutting-edge AI can transform biologic drug development.