As the “Method of the Year 2024”, spatial proteomics (SP) enables in situ characterization of protein localization, abundance ...

AWS Social Impact and Sustainability Program awards Admera Health, Bringing Next-Generation Genomics to Underserved ...

NovogeneAIT Genomics announces its appointment as the designated service provider for the PRECISE-SG100K proteomics project. In this role, NovogeneAIT Genomics will process and generate data from ...

A new framework outlines using spatial omics and AI to map wheat at cellular resolution. The effort aims to uncover how genes ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

We introduce a novel deep learning framework, SpaGene, which integrates scRNA-seq data and spatial transcriptomics data through an encoder-decoder architecture with translators, and discriminators, ...

Prostate cancer: Correlating the clinical phenotype to the genotype. Association of a post-prostatectomy digital pathology–based multimodal artificial intelligence (MMAI) biomarker with nodal and ...

Two new collaborations announced this week involve sequencing giant Illumina. First, SPT Labtech announced that it is collaborating with Illumina on an automated sample preparation platform designed ...

Integration of Takara Bio USA’s Trekker® reagent kit with Illumina’s Single Cell 3′ RNA Prep assay delivers high-density, high-sensitivity spatial data with true single-cell resolution SAN JOSE, Calif ...

Abstract: Spatial transcriptomics has revolutionized the ability to investigate transcriptional patterns within tissue morphology. However, many ST clustering pipelines operate on a single preselected ...

Abstract: Spatial transcriptomics (ST) aims to decode spatially resolved gene expression patterns while preserving tissue morphology. Current methods tend to use lower-cost deep learning approaches ...