Bioptimus, a global AI company building the world's first world model for biology, today announced the launch of its Spatial ...

A team of researchers has constructed the most detailed single-cell map of the adult human prostate to date, cataloging more ...

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.

The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

Spatial transcriptomics offers a revolutionary approach to understanding the tumor microenvironment (TME) in solid tumors by preserving the spatial context of gene expression, which is crucial for ...

Spatial transcriptomics has revealed that premalignant pancreatic cells organise into defined microenvironments that interact with immune cells to suppress host defences, offering potential ...