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

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

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

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 ...