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

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 ...

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

Data is often referred to as the new oil of the digital economy, representing a highly valuable and untapped asset. To fully realize the potential of spatial data, various spatial data marketplace ...

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 ...

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 ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.

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 ...