The SLAS 2026 Sample Management Symposium will feature five sessions dedicated to current trends and new developments shaping sample management. Each session will feature presentations from experts at the forefront of sample management.
Session Topics
The Intelligent Lab: AI and Automation Driving Next-Generation Sample Management
- AI/ML models and applications—smart ordering, dynamic inventory control, predictive compound QC
- AI applications within sample management
- Integration of automation and AI to shorten the research and regulatory cycle
Building a Sample Management Ecosystem for Multiple Modalities
- Integration across modalities (SM, biotherapeutics, proteins, cell lines, oligos)
- Data capture, transfer, and harmonization across systems
- Strategies for managing and leveraging data to accelerate discovery
Infrastructure and Informatics: The Modern Backbone of Discovery
- Informatics architecture for small molecule and biologics programs
- Inventory management, ordering systems, and instrument interfaces
- Database design for scalability and interoperability
Lessons from Beyond Biopharma Sample Management
- Borrowing best practices from other sectors—redundancy, predictive maintenance, digital twins, supply chain optimization
- Translating continuous improvement and lean principles to R&D sample management
Resilience by Design: Tackling Operational Challenges, Contingency Planning and Risk Mitigation
- Building redundancies into critical systems
- Planning for failure and maintaining operational continuity
- Governance and audit strategies for data and process assurance
