Spatial transcriptomics revealed hidden cellular patterns in cardiac allograft rejection. Read more about the study.

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 ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

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 ...

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 ...

Researchers at the Max Delbrück Center have developed an open-source spatial transcriptomics (ST) platform, called Open-ST, that creates 3D molecular maps from patient tissue samples with subcellular ...

Researchers at the University of Cologne, University Hospital Cologne and the Max Planck Institute for Metabolism Research ...

A new study that explores gene expression during heart transplant rejection marks a step forward for precision medicine approaches to treat organ rejection.

Explore the latest research from Johns Hopkins Biomedical Engineering, featuring new breakthroughs in imaging, spatial ...