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 tasks, have transformed natural language processing and multimodal AI. However, ...

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 ...