Over the last few years, the single-cell landscape has transitioned from mapping individual cellular transcriptomes to ...

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

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 ...

Chang leads assay and applications development at Takara Bio, driving the commercialization of novel spatial genomics products. She has extensive experience in single-cell multiomics technologies and ...

Since its inception, spatial biology has proven a revolutionary frontier in life science research. However, there is still plenty of room for growth in the systems we use to conduct spatial biology ...

Single-cell RNA sequencing has transformed biology by showing which genes are active in individual cells. However, this approach requires cells to be removed from their natural environment, erasing ...

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 ...

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 ...

Researchers at MD Anderson Cancer Center have used spatial transcriptomics to chart the internal architecture of ...

Trends in liver metastases at diagnosis among young adults with colorectal cancer: A SEER-based analysis, 2010–2022. Genotype-directed targeted therapy combined with HAIC and tislelizumab for ...