AI cell models are uncovering the hidden patterns in biological data faster than ever. Supercharge your research to power the next big discoveries in disease biology and drug development.
Chan Zuckerberg Initiative: Generating a dataset of one billion cells using GEM-X technology to create an unprecedented large-scale single cell dataset for accelerating AI-driven investigations of human health and disease.
Arc Institute: Building their Virtual Cell Atlas for virtual cell model development with high-quality CRISPR perturbational datasets at scale using GEM-X Flex.
Owkin: The MOSAIC initiative is using Chromium single cell and Visium spatial transcriptomics to analyze thousands of FFPE clinical tissue samples for training AI models for therapeutic response.
Xaira Therapeutics: The X-Atlas/Orion dataset is an ~8 million single cell CRISPR Perturb-seq dataset for AI model training generated with the GEM-X Universal 5’ assay.
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