Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Researchers in Nikolaus Rajewsky’s lab at Max Delbrück Center combined high-resolution, single-cell spatial technologies to map a tumor’s cellular neighborhoods in 3D and identify potential targets ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

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 ...

Neoadjuvant immunotherapy in combination with chemotherapy in resectable locally advanced head and neck squamous cell carcinoma: A randomized, open label, phase II clinical trial. This is an ASCO ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from ...

The three-dimensional analysis of cell types and their locations by spatial transcriptomics provides key information of their interactions within tissues or organs. Based on this technology, ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...