Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

This article explores innovations helping organoids reach their enormous potential. From vascularized tissues to fused assembloids and embedded bioelectronics, these miniature cell models are evolving ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.

In 2011, The Scientist featured Bergmann’s early work on stomata development. She now uses new omics tools to explore the ...

New research suggests that autoimmune diseases may be driven by DNA mutations in immune cells that remove the natural brakes on the immune system. It reveals a previously hidden role for somatic ...

Analysis of scRNA-seq data from primate embryoid bodies highlights the value of cross-species comparisons for identifying and characterizing cell types, as marker genes can evolve fast.

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream tasks, have transformed natural language processing and multimodal AI. However, ...