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.

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 ...

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 ...

Enables Whole-Transcriptome In Situ Spatial Biology with Single-Cell Sensitivity at Scale. Debuts at AACR Annual Meeting 2026 ...

Researchers reveal the intricate molecular landscape of triple-negative breast cancer (TNBC), uncovering actionable spatial archetypes and gene signatures that pave the way for personalized therapies ...

Takara Bio USA, Inc. today announced a benchmark study comparing the performance of its Trekker® FX technology against ...

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 data from osteosarcoma cells. Left) A spatial map of the transcriptome segmented into individual cells using machine learning, with each dot representing a RNA transcript and ...

The South Korean spatial biology company unveils new AI agents, foundation models, and spatial biomarkers for oncology drug discovery. SEOUL, South Korea, April 8, 2026 /PRNewswire/ -- Portrai, Inc. t ...