Next-gen oncology treatments require next-gen biomarkers, underscoring the essential role of spatial biomarkers. Join Dr. Ken Bloom to learn how AI-driven spatial biomarkers are facilitating more precise, effective, and personalized therapies.
Learning objectives:
- Learn how spatial tissue analysis can be applied to solve key questions in translational research and drug discovery and development.
- Learn about the role of spatial biomarkers in advancing ADC, bispecific, and immunotherapy programs.
- Learn how AI-driven spatial analysis can extract novel patterns from H&E, immunohistochemistry (IHC), multiplex IHC, and multiplex immunofluorescence (mIF) images.
