Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

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 ...

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

A new framework outlines using spatial omics and AI to map wheat at cellular resolution. The effort aims to uncover how genes ...

Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

A team of researchers has constructed the most detailed single-cell map of the adult human prostate to date, cataloging more ...

According to BCC Research, increasing adoption of cloud platforms is enabling scalable data analysis, accelerating genomics ...

In conventional pathology and physiology research, two-dimensional (2D) analysis—observing thinly sliced tissue sections—has ...

An international consortium of more than 80 researchers from over 30 institutions across nine countries is calling for a ...