Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Ovarian clear cell carcinoma (OCCC) has a higher prevalence among East Asian women and is characterized by poor clinical ...

The surface touch extraction imaging (STEi) method could benefit food scientists, toxicologists, and other laboratory ...

In our data-rich world, here’s the most fascinating aspect of spatial analysis: The more complex the problem, the more multi-layered it is, the more powerful spatial analysis is. Understanding and ...

Spatial genomics is a cutting-edge field that combines genomics and spatial analysis to investigate the role of genomic features in disease at single-cell resolution. Spatial genomics is a field of ...

Spatial data is any type of data that directly or indirectly references a specific geographical area or location. It is most commonly processed and analyzed by geographical information systems (GISes) ...

U.S. market to reach USD 156.90M and Europe USD 96.02M by 2035, driven by pharma R&D, biomarker development and multiplexed ...

No sooner had spatial biology made its way into the mainstream of genomic science than GEN figured out the key players in the emerging field, then ranked them for its first A-List of “Top 10 Spatial ...

Spatial biology answers a question that bulk and single-cell methods cannot: not just which cells are present in a tissue, but where they sit and which neighbors they are signaling to. This guide maps ...