Learning cell dynamics with neural differential equations

Nature Machine Intelligence, Published online: 18 December 2025; doi:10.1038/s42256-025-01150-3

Vinyard et al. present a generative method to model cell dynamics using neural stochastic differential equations that learn state-dependent drift and diffusion, outperforming existing approaches and enabling perturbation studies of development and disease.

​Nature Machine Intelligence, Published online: 18 December 2025; doi:10.1038/s42256-025-01150-3Vinyard et al. present a generative method to model cell dynamics using neural stochastic differential equations that learn state-dependent drift and diffusion, outperforming existing approaches and enabling perturbation studies of development and disease. Read More

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