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

Vladimir Gligorijevic at Genentech explores how combining AI-driven design with targeted lab testing accelerates the discovery of high-performance therapeutic antibodies, reducing experimental burden and improving candidate quality.

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Presented by

Vladimir Gligorijevic, PhD

Senior Director of AI/ML, Genentech

Covered in this Webinar

Understand the Lab-in-the-Loop framework and its integration of AI, predictive modeling, active learning and lab testing to streamline therapeutic antibody design

Learn how iterative optimization across four key targets (EGFR, IL-6, HER2, OSM) improved binding affinity and uncovered high-potential antibody candidates

Explore the impact of AI-driven approaches on reducing experimental burden, accelerating discovery timelines and improving the quality of antibody therapeutics

Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. For research use only, not for use in diagnostic procedures.

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Genes

Oligo Pools

NGS Target Enrichment Solutions

Variant Libraries

Synthetic Controls

Antibody Discovery

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

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