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

A new framework outlines using spatial omics and AI to map wheat at cellular resolution. The effort aims to uncover how genes ...

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

Challenges and Prospects. Challenges and prospects faced by spatial transcriptomics itself and its application to the musculoskeletal system. AI Artificial intelligence, FFPE Formalin fixed and ...

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.

On March 31, 2026, William Blair upgraded 10x Genomics from “Market Perform” to “Outperform,” highlighting its best-in-class genomics platforms and exposure to growing demand for large-scale ...

Adelaide University is leading the international Wheat Spatial Omics Consortium (WSOC) of more than 30 institutions in nine ...

New spatial transcriptomics approach combined with machine learning maps gene expression across whole mouse body sections, ...