AI & LLMs: How are they driving true innovation in R&D by unlocking new approaches to discovery, from generative drug design to in silico experimentation?

Systems Integration & Instrument Connectivity: How can people, data, and technology work together to enable more efficient and collaborative science?

AI & Machine Learning: How are they being used to optimise scientific and operational workflows across research, development and manufacturing?

Lab Operational Excellence: How to createa physical and virtual infrastructure that allows scientists to innovate across the value chain?

Digital Transformation & Digital Tools: How are digital tools enabling more agile, efficient, and future-ready R&D organizations?

Data Foundations & Data Strategy: How to create unified data environments that connect systems and enable scalable, cross-functional use?

Lab & Workflow Automation: How to drive greater efficiency, reliability, and reproducibility?

Techniques for Analytical Instruments: How can preventive maintenance, signal instability diagnosis, calibration discrepancies, contamination management, sample preparation corrections, and complex data interpretation enhance analytical accuracy and optimise laboratory performance?

Self-Monitoring & Autonomous Self-Calibration: How do you evaluate and implement self-monitoring tools in highly regulated environments for accurate measurements with self-calibrating sensors and inline verification?

LIMS & Process Harmonization: How can LIMS harmonize processes between routine analyses, R&D, batch testing of raw materials, packaging materials, and microbiological analyses?

LIMS Implementation & Software Validation: What are the framework conditions for a LIMS project? How to set up validation reporting?

Laboratory Data Management in complex and heterogeneous Laboratory Environments: How to implement various proof-of-concepts?

Molecular & Personalized Medicine: What are the current trends and what role does technology play in molecular testing and Omics?