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Posted: 2025-04-24 09:49:32 UTC

This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
Status
Last Updated
2025-04-24 09:49:58 UTC
Verified By
Rollup News
CellFlow is a new approach for complex perturbation modeling in single-cell genomics based on flow matching, demonstrating broad power across diverse tasks such as cytokine screens, cell fate, and organoid engineering. It consistently outperforms state-of-the-art models and allows for unique predictions across complex conditions.
Predicting donor-specific cytokine responses on 10 million cells
Predicting effects of genetic knockouts at single-cell resolution across time points
Predicting responses to combinatorial morphogen treatments, resulting in new cell states
Enabling virtual organoid screens across thousands of conditions
Modeling complex experimental conditions
Predicting cell states under combinatorial treatments
Scaling to embryo-scale perturbations