Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...

A collaborative project has created a comprehensive guide to help standardize spatial transcriptomics practices. Spatial transcriptomics provides a unique perspective on the genes that cells express ...

A new study generated one of the most comprehensive spatially resolved transcriptomic maps of cellular communication between bone and skeletal muscle ...

Tumor transcriptomics involves the comprehensive analysis of ribonucleic acid transcripts within cancer cells, providing essential insights into gene expression patterns, disease classification, and ...

Overall growth in revenues, capital, and activity among leading companies reflect the field’s increasing importance as highlighted in this year’s Top 10 Spatial Biology Companies of 2025. The below Up ...