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 ...

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.

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 ...

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

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

Neoadjuvant immunotherapy in combination with chemotherapy in resectable locally advanced head and neck squamous cell carcinoma: A randomized, open label, phase II clinical trial. This is an ASCO ...

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 ...

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 ...

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 ...

Researchers identified invasive early disseminated cancer cells and immunosuppressive macrophage signaling that promote ...