Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as heart, skin or liver tissue. These snapshots provide insights into how spatial ...

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

The interdisciplinary field of spatial biology continues to connect omics research with the goal of understanding the spatial distribution of biomolecules that influence biological processes and ...

Spatial transcriptomics may have just achieved single-cell resolution. Researchers led by Evan Macosko, Fei Chen, and colleagues at the Broad Institute in Cambridge, Massachusetts, bound together ...

Analysis methods enhance our understanding of spatial biology, providing deeper insights into cellular interactions and tissue architecture. In this webinar, we will explore the intricacies of ...

Effective anti-tumor immunity is not only defined by which immune cells are present in a tumor, but also by how they are organized in space. Across cancer ...