We present SpaHDmap, a deep learning framework that integrates histology images with spatial transcriptomic data to derive high-resolution and interpretable spatial metagenes. We demonstrate that ...

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, from mouse embryos to the roundworm C. elegans to 31 human tissues. These ...

Spatially resolved single-cell transcriptomics is crucial for mapping the cellular atlas of organisms, but many spatial transcriptomics data lack single-cell resolution. Most cell-type deconvolution ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

Race-specific survival prediction models for de novo metastatic breast cancer using machine learning. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

A novel spatial transcriptomics atlas developed by Northwestern Medicine scientists may improve the understanding of niche cellular interactions in the gastrointestinal tract that promote the ...

An AI-powered complete blood count panel for high-grade cervical lesion identification: A multicentric retrospective study. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...

SANTA CLARA, CA, UNITED STATES, January 20, 2026 /EINPresswire.com/ — OmicInsight Corporation, an innovator in AI-powered spatial biology and high-resolution ...

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