Speaker: Sanjay Patel
Anatomic pathology has evolved from traditional visual analysis (histomorphology) to include immunohistochemistry (IHC) for cell phenotyping. Recent advances in spatial multiomics now allow for the simultaneous detection of dozens of proteins and RNA transcripts in tissue, generating complex image data. AI-driven analysis of this data reveals previously unseen spatial relationships between cells, correlating with disease genetics, outcomes, and treatment response. While currently complex and costly, spatial multiomics holds significant potential for future clinical applications.
Learning Objectives:
At the end of the session participants will be able to:
- Compare a few of the most common approaches currently available for spatial multi-omics
- Describe the basic purpose of spatial multi-omics approaches for characterizing the cellular architecture of intact tissue samples.