ML and AI Driving the Next Frontier in Biotherapeutics
The Machine Learning stream at the PEGS Boston Summit 2026 convenes scientists advancing the convergence of AI, digital technologies, and biotherapeutics. This stream features state-of-the-art applications across three critical domains of drug development. The program begins with ML and digital integration in biotherapeutic analytics, examining how digital twins, real-world data, and automated platforms are reshaping data integration, validation, and translational decision-making from discovery through the clinic. It then progresses to computational and AI/ML tools for immunogenicity assessment, with an emphasis on structure-based prediction, and explainable AI to support regulatory confidence. The final program explores machine learning approaches for protein engineering, highlighting advances in generative AI, discovery, and optimization. Collectively, this stream charts the rapidly expanding role of AI/ML, simulation, and computational design in accelerating biologic drug development.
Conferences Include:
May 11-12
ML and Digital Integration in Biotherapeutic Analytics
May 12-13
Predicting Immunogenicity with AI/ML Tools
May 14-15
Machine Learning Approaches for Protein Engineering