Deep learning to integrate histology with spatial transcriptomics

Presented By: James Zou

Speaker Biography: James Zou is an assistant professor of biomedical data science and, by courtesy, of CS and EE at Stanford University. James develops novel machine learning algorithms that have strong statistical guarantees and that are motivated by biomedical and human health challenges.

Webinar: Deep learning to integrate histology with spatial transcriptomics

Webinar Abstract: I will present our new computer vision algorithm, ST-Net, which can computationally synthesize spatially resolved transcriptomics directly from H&E histology images (He et al. Nature Biomedical Engineering 2020). I will demonstrate ST-Net on breast cancer data, and show how it characterizes tumor spatial heterogeneity and quantifies tumor-immune interactions.

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