Article

AetherCell: A generative engine for virtual cell perturbation and <i>in vivo</i> drug discovery

2026-03-16

Abstract excerpt

Virtual cell modeling is currently hindered by a “data-utility paradox”: biological information is fragmented between context-rich clinical RNA-seq and perturbation-dense experimental assays, leading to poor predictive generalization in human contexts. Here, we introduce AetherCell, a generative foundation model that unifies these disparate domains into a shared, platform-aligned transcriptomic manifold. By implem...

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Literature Corpus work: 870b33a7-00dd-5da2-86ac-f4e9d2e3662d
DOI: 10.64898/2026.03.13.710968

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