Characterizing the way, manner or pattern of evolution in tumors may be important for clinical forecasting and optimizing cancer treatment. Researchers are systematically examining how spatial ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

Spatial biology has rapidly reshaped tissue analysis, but most methods still rely on thin two-dimensional (2D) slices, giving fragmented glimpses of complex tissue structures. As spatial ...