Virtual cell models that enable the prediction of cell behavior across scales and biological contexts are rapidly emerging at the forefront of drug discovery. Tom Sercu, PhD, vice president of AI and ...

This three-part webinar series brings together leading researchers to explore how spatial biology is evolving - from data ...

Researchers at the University of Liverpool have identified distinctive biological characteristics within adenomyosis lesions ...

Illumina, Inc. recently expanded its Board from nine to ten members and appointed Daniel M. Skovronsky, M.D., Ph.D., Chief Scientific and Product Officer at Eli Lilly and President of Lilly Research ...

The researchers have developed a novel deep learning framework that integrates high-resolution pathology images with spatial transcriptomics and proteomics to reveal the complex intra-tumor ...

The heart is a structurally complex organ where function is intimately tied to the precise spatial organization of diverse cell types. While single-cell RNA sequencing (scRNA-seq) has revolutionized ...

Neurodegenerative diseases affect more than 57 million people globally. The incidence of these diseases, from Alzheimer's to Parkinson's to ALS and beyond, is expected to double every 20 years. Though ...

Foster City, Calif. | January 27, 2026 — Signios Bio today announced the launch of a new grant program supporting innovative spatial transcriptomics research using the 10x Genomics Xenium 5K Spatial ...

Abstract: Reconstructing three-dimensional (3D) structures from consecutive tissue slices is essential to uncover tissue architecture and intercellular interactions. However, some of the current 3D ...

Deep Visual Proteomics (DVP) integrates high-resolution microscopy, AI-driven image analysis and ultra-sensitive mass spectrometry (MS) to chart protein expression at single-cell resolution while ...

Contributed by Howard Y. Chang; received November 19, 2024; accepted February 20, 2025; reviewed by Jellert Gaublomme and David A. Quigley The spatial organization of cells within tissues plays a ...

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 ...