Spatial transcriptomics (ST) technologies are applied in biology and medical research for its ability to detect the spatial distribution of transcriptome in histological tissue slices. By probing some ...

The authors apply their new platform to knockout different genes in parallel in a mouse model of lung cancer to understand their impact on the growth, cellular architecture, and immune composition of ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

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 ...

The rapid evolution of spatial computing necessitates asset-creation methods that transcend the constraints of manual modeling. Tripo AI has introduced an enterprise-focused framework designed to ...

One problem with this new approach is that scRNA-seq and spatial transcriptomics are expensive and have limited clinical applications as they are not routinely assayed as part of cancer diagnosis.

PICO has recently unveiled the latest PICO OS 6 update for its XR products, and this is just the first step for the brand’s strategy to address key ...