Researchers have created a highly detailed spatial multiomic atlas to date of glioma tumour microenvironments.

Identifying and characterizing the multitude of cell types that make up the brain is fundamental to understanding their function in health and disease. Single-cell RNA sequencing (scRNA-seq) ...

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.

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 ...

Certain cells in the brain create a nurturing environment, enhancing the health and resilience of their neighbors, while others promote stress and damage. Using spatial transcriptomics and AI, ...

In a recent study published in the journal Nature, researchers developed spatial aging clocks using single-cell transcriptomics to explore cell-type-specific interactions and their impact on brain ...

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

Dublin, Nov. 20, 2024 (GLOBE NEWSWIRE) -- The "Spatial Genomics and Transcriptomics - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering. The global market ...

The human brain is a fascinating and complex organ that supports numerous sophisticated behaviors and abilities that are observed in no other animal species. For centuries, scientists have been trying ...