Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

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

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from ...

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

Delaram Pouyabahar is a Canadian based computational biologist whose planned postdoctoral move to Harvard University ...

The rapid expansion of high-throughput sequencing technologies has generated unprecedented amounts of multi-omics data, ...

Spatial transcriptomics offers a revolutionary approach to understanding the tumor microenvironment (TME) in solid tumors by preserving the spatial context of gene expression, which is crucial for ...

“The research that’s needed most is the risk stratification research—who do we screen,” says Dr. Gabre. By getting to the root of who’s at risk, we’ll know whom to screen, and ideally, find people ...