Abstract: Spatial transcriptomics is an emerging technology that allows for analysis of cellular and molecular heterogeneity at spatial resolution. The accurate identification of pathological regions ...

According to Precedence Research, the global precision medicine market size is valued at USD 119.03 billion in 2025 and is ...

Revolutionary model represents a transformative step toward AI-powered virtual tissues, patient digital twins, and a new era ...

Background Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic cancer with highly variable malignant potential. Current understanding of their biology remains ...

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 ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

“Illumina’s…presentations and product descriptions revealed a workflow that infringed on the ‘607, ‘138, ‘505, and ‘487 patents, 10x Genomics and Prognosys Biosciences argued.” On October 21, 10x ...

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 ...

Single-cell RNA sequencing (scRNA-seq) has emerged as an advanced biological technology capable of resolving the complexity of cancer landscapes at single-cell resolution. Spatial transcriptomics(ST), ...

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 ...