A single clonal starting point may explain how multiple cervical cancer subtypes arise

How do different cancer subtypes arise? Do they originate from distinct cells, or from a single multipotent cell capable of ...
Labroots

Introduction to Spatial Single-Cell Transcriptomics Technology and Analytics

Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...
Gut

Luminal–basal stratification of the native human pancreatic duct is differentially represented in pancreatic cancers

Background A resemblance of pancreatic tumours to their native tissue architecture remains largely unexplored, while it may ...
Medical Xpress

Single-cell tool predicts cancer survival by pinpointing harmful tumor cells

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival using advanced molecular data from individual cells. Survival analysis is ...
EurekAlert!

Deep Visual Multi-Omics: AI-powered 3D mapping reveals intra-tumor heterogeneity of colorectal cancer

A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial ...
TMCnet

Illumina launches StrataMap Spatial Solution, a powerful end-to-end spatial whole transcriptome research solution

(NASDAQ: ILMN) today announced the launch of the StrataMap Spatial Solution, offering an unmatched breadth of coverage and ...
Hosted on MSN

AI is changing how we see cancer

New AI-powered spatial transcriptomics tools are transforming cancer research by revealing how cells are organized and interact within tumors. These methods combine histology images, gene expression ...