From Foundational Principles to AI-Enabled Prediction: Advancing Immunogenicity Assessment and Control
The Immunogenicity Stream at PEGS Boston 2027 offers a comprehensive journey from foundational principles to advanced predictive approaches. The program begins with an introductory training seminar providing a practical overview of immunogenicity before progressing to the latest applications of AI and machine learning for predicting immune responses. Conference sessions will explore computational models, multi-omics and structural data integration, generative AI for antibody humanization and epitope prediction, and regulatory perspectives on in silico tools. Case studies will highlight strategies for reducing clinical risk and successfully integrating predictive models into drug development pipelines. The stream concludes with an in-depth training seminar focused on bioassay design, validation, and monitoring.
Conferences and Training Seminars Include:
May 10-11
Training Seminar: Introduction to Immunogenicity
May 11-12
Predicting Immunogenicity with AI and ML Tools
May 13-14
Training Seminar: Bioassay Development and Analysis