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.

Advaita Bio today announced the launch of iSCanGuide, a cloud-based platform engineered to transform large-scale single-cell ...

Co-first author Jiyuan Yang, PhD, St. Jude Department of Computational Biology and co-senior and corresponding author Jiyang Yu, PhD, St. Jude Department of Computational Biology interim chair look at ...

Spatial-biology tools are collecting more comprehensive data, and companies that want to model cells in silico are hoovering ...

Larotrectinib in Patients With Tumors With NTRK Fusions: Results From the NCI-MATCH ECOG-ACRIN Trial (EAY131) Subprotocol EAY131-Z1E Advancements in profiling technologies have deepened our ...

Key opportunities in the Global Spatial Genomics and Transcriptomics Market include technological advancements in spatial ...

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 ...

GPU-Accelerated Platform Unifies Fragmented Workflows, Turning Weeks of Analysis into MinutesANN ARBOR, Mich., May 7, 2026 /PRNewswire/ -- Advaita Bio today announced the launch of iSCanGuide ...