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 ...

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 ...

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 rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

A team of researchers has constructed the most detailed single-cell map of the adult human prostate to date, cataloging more than 253,000 individual cells and identifying previously hidden ...

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

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

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 ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.