The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

Scaling up single-cell sequencing studies allows scientists to uncover rare cell types, better understand disease states, and track cellular changes over time. However, processing, assaying, and ...

A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial ...

Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...

Malaria remains one of the world's most significant infectious diseases, with progress toward elimination increasingly ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...