Abstract: Spatial transcriptomics technologies produce rich multimodal data, including gene expression profiles, spatial coordinates, and histological images, offering unprecedented opportunities to ...
Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...
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, ...
Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...
Understanding gene expression within the body has been a boon for 21st century biology and therapeutics, but most discoveries ...
Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.
Singular Genomics today announced the launch of the G4X(TM) Spatial Research Challenge, a new program built around a 1,000-sample spatial ...
At the 2026 Cell-Cell Symposium at UCLA, Partillion Bioscience highlighted its role in advancing a new era of cell-cell interaction mapping. Joe de Rutte, CEO of Partillion Bioscience, presented how ...
In conventional pathology and physiology research, two-dimensional (2D) analysis—observing thinly sliced tissue sections—has ...
AI PCs with local neural processors bring an undisputed competitive edge to modern offices. I have nine specific reasons why you'll want your next fleet of systems to be AI PCs. From the laptops on ...
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