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-biology tools are collecting more comprehensive data, and companies that want to model cells in silico are hoovering ...

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.

Advaita Bio today announced the launch of iSCanGuide, a cloud-based platform engineered to transform large-scale single-cell and spatial transcriptomics datasets into biologically meaningful results.

The liver is remarkable for its ability to regenerate after injury, yet when this process fails, acute liver failure (ALF) carries devastating outcomes. Traditional research methods, reliant on bulk ...

Head and neck cancers display notable heterogeneity in their immune cell infiltrates, which reflect intricate spatial arrangements and dynamic networks of ...

GPU-Accelerated Platform Unifies Fragmented Workflows, Turning Weeks of Analysis into MinutesANN ARBOR, Mich., May 7, 2026 /PRNewswire/ -- Advaita Bio today announced the launch of iSCanGuide ...

In this session you will learn how spatial transcriptomics with single-cell resolution enable detailed cellular mapping of ...

Key opportunities in the Global Spatial Genomics and Transcriptomics Market include technological advancements in spatial ...

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 ...