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 ...

The origin of many diseases begins at the cellular level and involves multiple molecular interactions. However, previous methods have struggled to accurately observe changes in individual cells.

AGBT is also, increasingly, a showcase for instruments for spatial biology, a fast-growing field that involves pinpointing the location of RNA and protein molecules en masse. Tarbox calls the meeting ...

Cirrhosis, particularly HBV-induced, poses a significant global health burden. This study compares immune cell landscapes in HBV and non-viral cirrhosis using single-cell RNA sequencing (scRNA-seq) to ...

HONG KONG, Feb. 13, 2026 /PRNewswire/ -- Omics Empower, a global life science service provider specializing in single-cell sequencing and spatial transcriptomics, announced that Xenium™ In Situ ...

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 ...

Cell phones have become a part of our everyday lives since their creation and innovation. We never leave the house without them, utilize them for our Duo Push needs and even controversially use them ...

Researchers from the Centre for Addiction and Mental Health (CAMH) and the Institute of Neurophysiology at Uniklinik RWTH Aachen in Germany have deciphered the molecular signature of so-called ...

Abstract: The emergence of spatial transcriptomics has greatly advanced our understanding of disease mechanisms, identified novel therapeutic targets, and contributed to progress in personalized ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

Model vs Naive Baseline — Comparing model 2μm predictions against simply upsampling 8μm ground truth (4×4 nearest neighbor). The baseline wins on this gene.