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"Overcoming the challenges of spatial biology with AI"

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The use of spatial biology (both RNA and protein) has become a powerful tool for characterizing and phenotyping cells within the tumor microenvironment. Unfortunately, a key practical challenge of the technology is how to increase the reproducibility, sensitivity, and accuracy of results.

This white paper highlights the latest strategies and solutions for generating whole-tissue data for enhanced histological context and a truly unbiased, reproducible approach to spatial analysis in oncology clinical trials.

What you’ll learn:

• Review of spatial biology in oncology trials today
• How whole tissue imaging of the tumor microenvironment can provide insight into the immune environment of specific cancer types
• How a unique AI-driven image analysis and advanced spatial analytics can be applied to discover cell types, populations, and morphological spatial context
• And more

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