Abstract: Spatial transcriptomics is an emerging technology that allows for analysis of cellular and molecular heterogeneity at spatial resolution. The accurate identification of pathological regions ...

The diagnostic armamentarium for solid tumors is evolving rapidly, redefining how we detect, stage, stratify, monitor, and ultimately treat cancer. This ...

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new information.

This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...

Abstract: Remote sensing (RS) technology offers a revolutionary tool to research urban climate risks, with its ability to fuse data from multiple sources greatly enhancing the accuracy of compound ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Spatially resolved transcriptomics (SRT) simultaneously captures spatial coordinates, pathological features, and transcriptional profiles of cells within intact tissues, offering unprecedented ...

Scientists at Brown University have developed CaBLAM, a bioluminescent tool that allows long-term, high-resolution imaging of living brain cells without external light.

The preprint is available here. DeepSpot2Cell predicts virtual single-cell spatial transcriptomics as follows: (1) During training, the model takes as input (i) the cropped cell tile defined by the ...

Background Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic cancer with highly variable malignant potential. Current understanding of their biology remains ...