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Antibodies, as powerful therapeutic agents, have demonstrated immense potential in treating a range of diseases, from cancer to infectious diseases. Recent advances in artificial intelligence (AI) and computational modeling are making it possible to push the boundaries of antibody design and deliver even more effective therapies.

In this GEN webinar, Dr. Anne Goupil-Lamy will discuss how machine learning and AI is accelerating the discovery of novel biotherapeutics, including antibodies. During the webinar, she will showcase cutting-edge computational techniques for epitope mapping, affinity maturation, and humanization while ensuring compatibility for therapeutic use. She will also discuss techniques for assessment of antibody developability, including aggregation, solubility, viscosity, and excipient formulation to enhance candidate success.

A live Q&A session followed the presentation, offering a chance to pose questions to our expert panelist.

Anne Goupil-Lamy
Anne Goupil-Lamy, PhD
Principal Field Application Scientist and Science Council Fellow