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Yuning You

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Open access Oct 2026

How Much Can AI Virtual Cells Gain from Unified Perturbational Modeling?

Predicting how individual cells respond to perturbations is a central task in artificial intelligence virtual cell (AIVC) modeling. However, integrating perturbation datasets is challenging because they differ in measured gene sets, perturbation types and cellular contexts. Existing AIVC predictors are typically develo...

Zong-Ting Wei, Yue-Dian Ye, Shu-Guang Cui et al. · 0 citations
#graph neural networks Open access Aug 2026

A Generative Virtual Tissue Model Enables Computational Design of Therapeutic Perturbation Strategies

Broadly, CIFM shows how generative artificial intelligence methods can be applied to model emergent behavior in highly interacting biological systems, yielding new approaches to fundamental understanding of tissue behavior as well as large-scale therapeutic design.

Yunrui Lu, Willis Zhang, Yu-Jen Chen et al. · 0 citations

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