Multifractal patterns across deep time: What measurement density reveals about Earth's history

Much of our understanding of Earth's past is derived from stratigraphic records exposed in rock outcrops or recovered from drilled cores. These records span immense time intervals, from thousands to ...
Technology Networks

Clinical Multi-Omics Approaches for Systems Medicine and Biomarker Discovery

Explore how clinical multi-omics integration drives systems medicine, detailing data fusion methodologies and lab ...

Bruker Announces Major Advancements at AGBT to Enable Complete High-Fidelity Spatial Biology Across the Biological Spectrum

Bruker Corporation (Nasdaq: BRKR) announced today significant portfolio advancements from Bruker Spatial Biology to be unveiled at the 2026 Advances in Genome Biology and Technology (AGBT) General ...
Technology Networks

Bringing Tissue Biology Into 3D: Redefining What’s Possible in Spatial Multiomics

Advances in 3D spatial multiomics are changing how researchers study tissue architecture. We spoke with Stellaromics' CEO, Dr. Todd Dickinson, to learn how this approach preserves structure and ...
IEEE

Cluster-guided contrastive learning with masked autoencoder for spatial domain identification based on spatial transcriptomics

Abstract: Recent advancements in spatial transcriptomics technology have enabled the capture of gene expression profiles while maintaining spatial information. Accurately identifying spatial ...
The Lancet

Spatial transcriptomics uncovers lipid metabolic dysregulation driving immune-stroma crosstalk in Sjögren's Disease

aDivision of Rheumatology, Department of Internal Medicine, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510630, China bDepartment of Endocrinology and Metabolism, ...
Frontiers

Editorial: Unraveling immune metabolism: single-cell & spatial transcriptomics illuminate disease dynamics

The interplay between cellular metabolism and immune function—immunometabolism—has emerged as a cornerstone of modern pathology (1). Immune cells are not static entities; they continuously adapt their ...
eLife

Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage

This study presents DeepTX, a valuable methodological tool that integrates mechanistic stochastic models with single-cell RNA sequencing data to infer transcriptional burst kinetics at genome scale.
GitHub

DeepSpot2Cell: Predicting Virtual Single-Cell Spatial Transcriptomics from H&E images using Spot-Level Supervision

The preprint is available here. DeepSpot2Cell predicts virtual single-cell spatial transcriptomics as follows: (1) During training, the model takes as input (i) the cropped cell tile defined by the ...
gut.bmj

Dynamic urinary proteomics integrates single-cell and spatial transcriptomics to reveal tumour microenvironment and predict immunotherapy response in biliary tract cancer

Background Most patients with biliary tract cancer (BTC) do not derive durable clinical benefit (DCB) from immune checkpoint inhibitors (ICIs), underscoring the urgent need for predictive biomarkers.
Scientific Research Publishing

Xue, S., Zhu, F., Wang, C. and Min, W. (2024) StEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. In: Lecture Notes in Computer Science ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...