Spatial transcriptomics technologies have fundamentally transformed our ability to map gene expression within complex tissues, providing unprecedented insights into cellular heterogeneity and tissue ...

Single-cell technologies offer a unique opportunity to explore cellular heterogeneity in health and disease. However, reliable identification of cell types and states represents a bottleneck.

(A) Selected human single-cell transcriptome profiles from HCL and other public datasets were utilized to train and validate gPRINT. The human single-cell data encompasses 159,302 cells from 26 ...

Master Scaling Single-Cell Biology. This free webinar series covers multi-omic data integration, spatial datasets, and new AI ...

A new computational method could dramatically accelerate efforts to map the body's cells in space, according to a study published in Nature Genetics. Spatial multi-omics technologies—often described ...

T cells are essential components of the immune system and play critical roles in immune responses against infections, tumors, and autoimmune diseases. T cells are highly heterogeneous, with distinct ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are actively expressed at any given time in a cell determines what type of cell it ...

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 ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

Tahoe Therapeutics, Arc Institute, and Biohub have each made a multi-million dollar commitment to fill the massive data gap for virtual cell models. The teams exclusively told GEN Edge that more than ...