Episode 1: Decoding Disease: Leveraging Single-Cell Data To Unravel Pathogenesis
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With the explosion of single-cell datasets across biological disciplines, the next frontier in understanding disease lies in harnessing the power of these data-rich resources. In this webinar, Dr. Plummer will discuss innovative methodologies her group has developed to scale single-cell data into the realm of spatial omics, enabling deeper interrogation of disease mechanisms. She will present QuantumCell, a novel vision-language foundation model designed to streamline single-cell integration and annotation of complex spatial omics data.
The webinar will address the challenges of applying these annotations to spatial datasets – particularly in defining dynamic cell boundaries. Dr. Plummer will illustrate how these advanced tools and approaches are applied to cancer datasets to uncover new insights into the tumor microenvironment, ultimately enhancing our understanding of cellular dynamics in disease development.
Attend this webinar to:
- Learn how single-cell data can be integrated with spatial omics using the QuantumCell model
- Understand the challenges of annotating spatial datasets and defining dynamic cell boundaries
- Explore how these methods uncover new insights into cancer and the tumor microenvironment
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