Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...

Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research Cancer remains ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream tasks, have transformed natural language processing and multimodal AI. However, ...

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 ...

Joe Beechem, PhD, joined NanoString in 2012 as the senior vice president of research and development and is now Bruker Spatial Biology chief scientific officer. He is an inventor and full commercial ...

The study, published today in Cancer Cell, generated spatial transcriptomic maps in precancerous and more advanced stages of lung cancer to provide a deeper understanding of early lung cancer ...

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, from mouse embryos to the roundworm C. elegans to 31 human tissues. These ...

Spatial transcriptomics is a technique that provides information about gene expression patterns within intact tissues. This technology employs various methodologies, including in situ sequencing (ISS) ...

IRB Barcelona launches Spain’s first fully integrated spatial omics platform. Spatial omics is a new generation of technologies that allow scientists to study cells in their original location within ...