BioAIM in Action: Integrating Wet and Digital Labs to Accelerate Biologics Discovery at Sanofi

Attendees will learn how Sanofi uses Genedata Biologics to:

• Integrate wet and digital labs by unifying experimental and computational workflows, enabling seamless collaboration across R&D functions.
• Accelerate biologics discovery through AI/ML-driven design, virtual screening, and in silico-first strategies
• Modernize and harmonize global R&D operations by standardizing data capture, workflows, and systems across sites.
• Support the BioAIM program, a next-generation digital biologics platform, by providing the data infrastructure for AI-guided discovery.
• Build a four-pillar digital ecosystem encompassing Digital Foundations, Data Foundations, AI Capabilities, and Front-End UX.
• Ensure robust data governance with structured registration, traceability, and audit-ready documentation.
• Enable AI/ML model development through high-quality, metadata-rich datasets and scalable infrastructure.
• Reduce development timelines and improve molecule quality by integrating automation, analytics, and predictive modeling.
• Empower scientists with intuitive digital tools that enhance productivity.

Who Should Attend:

• R&D Scientists and Innovation Leaders: Gain practical insights into streamlining biologics discovery, reducing optimization cycles, and accelerating timelines through digital platforms and AI.
• Data Scientists, AI/ML Specialists, and Bioinformatics Teams: Learn how to access and leverage high-quality, metadata-rich datasets to build, deploy, and scale impactful AI/ML models in biologics research.
• IT, Informatics, and Scientific Software Developers: Explore strategies for integrating legacy systems, supporting scalable infrastructure, and developing user-friendly tools that enhance scientific workflows.
• Innovation Managers and Program Leads: See how AI and digital tools can accelerate timelines and deliver measurable R&D impact.
• Regulatory, Quality, and Data Governance Experts: Understand how structured data capture, traceability, and audit-ready documentation support compliance and IP protection, and data stewardship.
• Biotech Executives, Program Leads, and Collaborators: Evaluate the strategic value of digital transformation in biologics R&D and explore collaboration models that drive innovation and measurable impact.