The development of glmSMA represents a valuable advancement in spatial transcriptomics analysis, offering a mathematically robust regression-based approach that achieves higher-resolution mapping of ...

Modern machine learning approaches have shown remarkable success in extracting patterns from high-dimensional biological data. However, when applied to spatial transcriptomics, these methods face ...

The evolution of single-cell sequencing and spatial omics technologies has revolutionised our ability to study tissues and diseases with unprecedented resolution. It has long been recognised that gene ...

Minimally invasive lumbar decompression (MILD), also known as percutaneous image-guided lumbar decompression (PILD), is a minimally invasive treatment option for some people with spinal stenosis in ...

1 Breast Center, Baotou City Cancer Hospital, Baotou, Inner Mongolia, China 2 Operating Room, Baotou City Cancer Hospital, Baotou, Inner Mongolia, China Metastatic breast cancer (MBC) remains the ...

Do you want to generate spatial transcriptomics data using your H&E images? We introduce DeepSpot, a novel deep-learning model that predicts spatial transcriptomics from H&E images. DeepSpot employs a ...

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 ...

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 ...

Spatial transcriptomics enables researchers to measure gene expression in tissue sections while preserving their spatial organisation. Unlike traditional RNA sequencing, which requires dissociating ...

Korean preclinical CRO CorestemChemon is expanding its offerings through a partnership with ATG Lifetech with the goal of bringing pharma clients next-gen nonclinical solutions. The partners will team ...