News Perspective
The unequal geography of spatial transcriptomics
Fewer than 1% of the spatial transcriptomics papers we analysed had a first author in a low- or lower-middle-income economy.
News & research
Announcements from the team, the papers that describe some of the methods behind Aurora, and its talks, awards and press coverage.
Research Manuscript
Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers (opens in a new tab)
Pantelis R. Vlachas et al.
Presented at ICML 2026
Research Manuscript
Towards Cross-Sample Alignment for Multi-Modal Representation Learning in Spatial Transcriptomics (opens in a new tab)
Justina Dai et al.
Presented at ICLR 2026
Media Talk
Using AI to Infer Spot and Single-Cell Virtual Spatial Transcriptomics from Routine Histology (opens in a new tab)
10x Genomics Single Cell & Spatial Discovery Symposium · Bern, Switzerland
Research Manuscript
DeepSpot2Cell: Predicting Virtual Single-Cell Spatial Transcriptomics from H&E images using Spot-Level Supervision (opens in a new tab)
Kalin Nonchev et al.
Contributed talk, NeurIPS 2025
Research Manuscript
Molecularly informed analysis of histopathology images using natural language (opens in a new tab)
Moritz Schaefer et al.
Presented at ICML 2025
Media Talk
Machine Learning for Spatial Transcriptomics
Google Genomics Deep Dives Series · Boston, MA, USA
Media Talk
Predicting Virtual Single-Cell Spatial Transcriptomics from H&E Images Using Spot-Level Supervision (opens in a new tab)
NeurIPS 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences · San Diego, CA, USA
Media Award
1st place, Autoimmune Disease Machine Learning Challenge (opens in a new tab)
Broad Institute of MIT and Harvard · Boston, MA, USA
Media Article
Machine Learning Teams Push the Boundaries of Virtual Spatial Biology in Inflammatory Bowel Disease (opens in a new tab)
Eric & Wendy Schmidt Center, Broad Institute
Media Article
Kalin Nonchev Wins Autoimmune ML Challenge (opens in a new tab)
ETH Zurich, Department of Computer Science (BMI)
Media Talk
Predicting Spatial Transcriptomics from H&E Images
Integrating Cutting-Edge Biotechnologies and AI for Advancing Human Health (RNA-AI 2025) · Monte Verità, Ascona, Switzerland
Media Talk
Virtual Spatial Transcriptomics and DeepSpot
University of Basel, Department of Biomedicine & EMBL Heidelberg (Judith Zaugg) · Basel, Switzerland
Research Manuscript
Representation learning for multi-modal spatially resolved transcriptomics data (opens in a new tab)
Kalin Nonchev et al.
1st place, 2024 Mammoth International Contest on Omics Sciences (BGI Genomics & China National GeneBank)
Media Award
First Place, Mammoth International Contest on Omics Sciences in Europe
China National GeneBank, BGI Genomics, MGI, CODATA
Media Poster
DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
Biological Data Science, Cold Spring Harbor Laboratory · Cold Spring Harbor, NY, USA
Media Poster
Representation Learning for Multi-Modal Spatially Resolved Data
Intelligent Systems for Molecular Biology (ISMB) · Montreal, Canada
Media Talk
Finalist Presentation, Mammoth International Contest on Omics Sciences in Europe
Belgrade Bioinformatics Conference · Belgrade, Serbia
Media Talk
Representation Learning for Multi-Modal Spatially Resolved Data
Kipoi Summit: New Horizons in Computational Regulatory Genomics · Zugspitze, Germany
Try Aurora with your own data
Submit images for analysis
Academic and non-profit
See commercial access
Biotech, pharma and industry