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 ...

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, ...

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 ...

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 ...

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 ...

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 ...

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 ...

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