The South Korean spatial biology company unveils new AI agents, foundation models, and spatial biomarkers for oncology drug discovery. SEOUL, South Korea, /PRNewswire/ -- Portrai, Inc. today announced ...
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 ...
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 ...
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 ...
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.
Vietnam Investment Review on MSN
Portrai presents 11 AI spatial transcriptomics posters at AACR
SEOUL, South Korea, April 8, 2026 /PRNewswire/ -- Portrai, Inc. today announced it will present 11 posters highlighting its artificial intelligence and spatial transcriptomics capabilities at the ...
Bioptimus, a global AI company building the world's first world model for biology, today announced the launch of its Spatial ...
Morning Overview on MSN
New spatial transcriptomics maps gene activity across whole bodies
A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...
Researchers in Nikolaus Rajewsky's lab at Max Delbrück Center combined high-resolution, single-cell spatial technologies to map a tumor's cellular neighborhoods in 3D and identify potential targets ...
A new framework outlines using spatial omics and AI to map wheat at cellular resolution. The effort aims to uncover how genes ...
Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...
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