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 ...

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

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 ...

The advent of immunotherapy, particularly immune checkpoint inhibitors (ICIs), has revolutionized oncology. However, a significant proportion of patients ...

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 ...

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.

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

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

Based on Offerings, the market is divided into products and services segments. In 2023, the product segment accounted for the highest share of the spatial genomics and transcriptomics market. The ...

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 ...

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 ...