ILMN's Connected Multiomics, launched after early user input, advances precision health research and may boost the stock.

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

Researchers at VIB and KU Leuven have identified a molecular process that allows motor neurons to maintain protein production ...

Smoking tobacco is known to worsen symptoms of periodontitis and reduce responsiveness to treatment. Using high-resolution ...

The partners are launching ImmuneScape, a multiomics program using spatial and single-cell sequencing to study immune drivers ...

Challenges and Prospects. Challenges and prospects faced by spatial transcriptomics itself and its application to the musculoskeletal system. AI Artificial intelligence, FFPE Formalin fixed and ...

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.

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...

Researchers developed two computational tools to decode how cells communicate in tissues. sCCIgen creates realistic virtual ...

Researchers identify altered expression of genes that worsens periodontitis among smokers, and a new target molecule ...