Leverage the Intersection of AI & CDD for Multi-Objective Optimization of Affinity, Thermostability & Immunogenicity to Design Developability-Optimized Biologics with Derisked CMC
AI/ML and computational use cases for biologics design and optimization are at a critical turning point. Latent Labs’ launch to develop biologics using advanced AI models, Eli Lilly’s TuneLab partnering with BigHat Bio and Chai Discovery, and Bayer’s collaboration with Cradle on AI-enabled antibody discovery, emphasize the role of AI as the key accelerant in re-architecting biologics workflows to expedite discovery to lead candidate optimization.
The re-imagined CDD & AI for Biologics Summit returns at this industry-defining moment to deliver key learnings on applied, experimentally validated use cases to support you in catalyzing biologics discovery innovation. Dive into the convergence of computational drug design and AI applications in de novo protein design, property prediction, multi-objective optimization, molecular dynamics mapping and developability assessment for biologics.
Unite with techbio and biotech torchbearers such as Insilico Medicine, insitro, 3T Biosciences, AI Proteins, as well as industry heavyweights of AI adoption, including Eli Lilly, Merck, AstraZeneca, AbbVie and Amgen. This forum is designed to enable you as computational biologists, data scientists, developability specialists, and AI/ML leads to unpack, understand and operationalize the latest AI/ML approaches for biologics design, alongside conventional and innovative computational approaches.
Attend to gather the actionable insights and impactful collaborations required to advance AI-enabled lead biologics through discovery pipelines, with derisked CMC and towards proof of therapeutic value for patients.
Why This Summit is the ‘Best Fit’ For You
Speaker Faculty
Who You Will Connect With