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 ...

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 ...

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.

Illumina, Inc. (NASDAQ: ILMN) announced new customer breakthroughs in oncology powered by Illumina's spatial transcriptomics, ...

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 ...

In this piece, I highlight one particular talk that caught my interest — given by Elana Fertig, Dean E. Albert Reece Endowed Professor of Medicine at the University of Maryland. Fertig’s talk centered ...

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 recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...

A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...

A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...