Musa Kazim Azimli, a fifth-year doctoral candidate in history at the University of Virginia, tells the stories of spaces that no longer exist. Specializing in slavery in the Middle East, his research ...

As spatial biology gains prominence in translational research and clinical pipelines, reducing variability and increasing efficiency becomes crucial, especially for CROs aiding pharma and biotech ...

For decades, the United States held unrivalled global leadership in science and technology, based on its world-class research universities, high levels of public and private investment, and a policy ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are actively expressed at any given time in a cell determines what type of cell it ...

Abstract: The near-field spatial correlation for multiple-input multiple-output (MIMO) communications in multi-path fading channels is analyzed. Based on the general non-uniform spherical wave (NUSW) ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Representative visualization features of the GseaVis R package showing enhanced GSEA plots, multi-pathway comparisons, heatmap annotations, and circular layout options for comprehensive gene set ...

Update: A previous version of this post incorrectly stated that the feature works with any iOS 26-compatible iPhone. It has been updated to clarify that the feature is only supported on iPhone 12 and ...

A large validation study of AI-powered PD-L1 analyzer compared to pathologists’ assessment of PD-L1 expression in lung cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I.

Exploratory study on the impact of intestinal low-dose radiation on the efficacy and prognosis of immunotherapy in metastatic non-small cell lung cancer. First-line envafolimab in combination with ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.