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

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) ...

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 ...

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 ...

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.

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, ...

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 ...

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 ...

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 ...