Recent advancements in systems biology have been propelled by the increasing power of omics technologies—spanning genomics, transcriptomics, proteomics, ...

aDepartment of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA bDivision of Molecular Psychiatry, Department of Psychiatry, Yale University School of Medicine, ...

Demonstrates Superior Sensitivity and Specificity of Caris DetectResults demonstrate the superiority of Whole Genome Sequencing compared to ...

Cardiovascular diseases (CVDs) remain the leading cause of global mortality, necessitating a shift from traditional reactive treatments to proactive, ...

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 ...

Apple acquired Canadian graph database company Kuzu last year, it has emerged. The acquisition, spotted by AppleInsider, was completed in October 2025 for an undisclosed sum. The company's website was ...

A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...

Lymphatic muscle cells (LMCs) are indispensable for lymphatic vessel contraction, and their aberrant recruitment or absence is associated with both primary and secondary lymphedema. Despite their ...

Abstract: Recent advancements in spatial transcriptomics technology have enabled the capture of gene expression profiles while maintaining spatial information. Accurately identifying spatial ...

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 ...