New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

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 ...

Researchers at the Max Delbrück Center have developed an open-source spatial transcriptomics (ST) platform, called Open-ST, that creates 3D molecular maps from patient tissue samples with subcellular ...

Illumina is raising the curtain on its upcoming entry into spatial transcriptomics, with tech designed to help researchers explore cellular behavior mapped across complex tissues. The announcement ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

SAN FRANCISCO--(BUSINESS WIRE)--Noetik, an AI-native biotech company leveraging self-supervised machine learning and high-throughput spatial data to develop next-generation cancer therapeutics, ...

Breakthrough research details how distinct tissue niches and cell communication contribute to chronic active lesions in MS. Study: Cell type mapping reveals tissue niches and interactions in ...

This eBook cuts through the complexity of spatial techniques, featuring a series of inteveiws with pioneers in the field, and peer-reviewed research from the Taylor & Francis journal portfolio. This ...

Spatial proteomics is a spatial biology method that helps study the spatial distribution of the proteins within cells and tissues. The subcellular localization of proteins is intrinsic to cellular ...

The liver is remarkable for its ability to regenerate after injury, yet when this process fails, acute liver failure (ALF) carries devastating outcomes. Traditional research methods, reliant on bulk ...