SEOUL, South Korea, April 8, 2026 /PRNewswire/ -- Portrai, Inc. today announced it will present 11 posters highlighting its artificial intelligence and spatial transcriptomics capabilities at the ...
Rare cancers encompass a heterogeneous group of malignancies characterized by low incidence and prevalence but, often, disproportionately high mortality ...
A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...
Neurodegenerative diseases affect more than 57 million people globally. The incidence of these diseases, from Alzheimer's to Parkinson's to ALS and beyond, is expected to double every 20 years. Though ...
A group of a few dozen colorful translucent 3D blobs, many of which overlap, contain brightly colored dots against a black background. Three-dimensional transcriptomics data from an instrument ...
Two new collaborations announced this week involve sequencing giant Illumina. First, SPT Labtech announced that it is collaborating with Illumina on an automated sample preparation platform designed ...
The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...
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 ...
Spatial omics is a new generation of technologies that allow scientists to study cells in their original location within tissues (without isolating or moving them from their environment). Just as a ...
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 ...
Abstract: Deciphering cell-type composition is critical for charting single-cell spatial maps and cellular atlases of organisms. Most Spatial Transcriptomics (ST) data lack single-cell resolution, ...