This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...
According to Precedence Research, the global precision medicine market size is valued at USD 119.03 billion in 2025 and is ...
Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...
Revolutionary model represents a transformative step toward AI-powered virtual tissues, patient digital twins, and a new era ...
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 ...
Background Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic cancer with highly variable malignant potential. Current understanding of their biology remains ...
Hepatocellular carcinoma (HCC) remains one of the leading causes of cancer-related mortality worldwide, characterized by increasing incidence rates and challenging prognoses. This study integrates ...
Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between cells.
Characterizing gene expression profiles throughout tissue space provides key insights in investigating biological processes and disease development, including cancer. Bioinformatic tools exploring and ...
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 ...