Researchers have developed SpatialZoomer, a spectral graph-based tool that automatically identifies the biologically ...

An interpretable machine learning framework called SPACER decodes the gene-level rules that recruit or exclude immune cells ...

Transcriptomics is the study of the transcriptome—the complete set of RNA transcripts that are produced by the genome, under specific circumstances or in a specific cell—using high-throughput methods, ...

The model, named stFormer, uses cross-attention to incorporate spatial ligand gene signals. The researchers derived a biased cross-attention formula to unify ST platforms across resolution and gene ...

Prioritize recurring consumables, AI analytics, FFPE-compatible automation and end-to-end workflows; target oncology, research institutes and CRO partnerships.Dublin, Oct. 08, 2026 (GLOBE NEWSWIRE) -- ...

Spatial transcriptomics allows researchers to preserve the positional context of gene expression, mapping cellular behavior directly onto the native tissue architecture. However, the adoption of this ...

Spatial biology is rapidly becoming an essential tool for understanding complex biological systems, but realizing its full potential requires more than access to technology. Researchers need ...

Spatial technologies preserve tissue context to guide therapeutic development and translate molecular insights into ...

By Krystal Hu Oct 7 (Reuters) - The US government and tech heavyweights Meta Platforms and Google parent Alphabet are joining ...

Scientists can now detect molecular features in place at single-cell resolution, but existing spatial transcriptomics technologies remain expensive and difficult for many laboratories to adopt.