Scientists identify measurable cellular changes that flag higher cancer risk more than a decade before tumors appear. In ...

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

The best-case scenario on alcohol related liver disease is a remission from physical symptoms and a restoration of liver function to a level where the patients can live a life as close to normal as ...

MIT and Broad Institute researchers have developed an mRNA approach that temporarily programs liver cells to produce ...

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, driven by marked molecular and clinical heterogeneity and ...

The final, formatted version of the article will be published soon. Artificial intelligence (AI) has become a common tool for bioinformatics, with hundreds of methods published in recent years. Due to ...

A detailed description of the pipeline, methods, and results can be found in the following article: Giraud-Sauveur, F. et al. STHELAR, a multi-tissue dataset linking spatial transcriptomics and ...

A new tool developed by Helmholtz Munich and the German Center for Diabetes Research and the University of Bonn makes spatial proteomics and lipidomics easier to use—no coding required. C-COMPASS ...

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 ...

This repository contains the code of the paper "DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images". Authors: Kalin Nonchev, Sebastian Dawo, Karina ...