As the field of spatial biology continues to evolve, researchers face significant data challenges that can hinder the exploration of complex biological questions, particularly in cancer and infectious diseases. This talk will delve into analysis frameworks designed to overcome these hurdles, enabling more effective data integration and analysis across spatial omics methods.
Join us as we explore the iterative approaches to analyze complex datasets that enhance our understanding of tissue architecture and cellular interactions in disease contexts. Our speaker, Sizun Jiang PhD, will also discuss the synergy of cutting-edge spatial methodologies including PhenoCycler-Fusion and other spatial transcriptomics platforms.
Key topics will include:
- Identifying and addressing common data challenges in spatial biology.
- Implementing iterative spatial omics to refine biological insights.
- Case studies highlighting advancements in cancer and infectious disease research.
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