Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

The reason why so many tree species can coexist in species-rich forests has long been a subject of debate in ecology. This question is key to understanding the mechanisms governing the dynamics and ...

Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for ...

Spatial metabolomics faces three primary challenges in food-medicine homology research: the "black box" of component interactions, poorly characterized spatiotemporal dynamics, and the complexity of ...

Unlocking the Power of Spatial Intelligence in Artificial Intelligence Artificial Intelligence (AI) has transformed countless industries, from healthcare diagnostics to ...

This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...