What will you learn?

• Challenges affecting clinical trials with flow endpoints:
  • Global trial management: addressing logistical issues related to sample handling and transportation on a global scale and standardizing instrumentation across diverse trial sites to ensure data consistency and reliability.
  • Instrumentation complexity: navigating the intricacies of instrument compensation and unmixing within high-complexity panels, especially given patient-to-patient variability.
  • Data consistency: maintaining robust data analysis and reporting across different patient cohorts and time intervals to ensure meaningful trial results.
• Opportunities for success in clinical trials:
  • Advanced instrumentation: exploring the advantages of spectral versus conventional instrumentation in capturing comprehensive data.
  • AI integration: leveraging artificial intelligence to enhance flow cytometry analysis, increasing precision and reducing manual errors.
  • Evolving modalities: recognizing the growing necessity for flow cytometry in complex modalities, such as CAR-T cell therapies and multi-specific T cell engages.
  • Diagnostics and monitoring: utilizing flow cytometry in diagnostic studies and immune monitoring trials, including minimal residual disease analysis and bi