Article

Integrative AI-Enabled Virtual Cell Modeling Reveals a Clinically Relevant Latent Effector State of Human CD8⁺ T Cells Undetectable by Conventional Analyses

2026-07-25

Abstract excerpt

Understanding how immune checkpoint inhibitors (ICIs) reshape human T-cell responses requires models that move beyond static transcriptomic snapshots and discrete cell-state classifications. Here, we present an integrative AI-enabled virtual cell framework that represents human CD8⁺ T-cell responses as dynamic and computable systems during ICI therapy. By integrating single-cell RNA sequencing with paired T-cell r...

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Literature Corpus work: 46631275-1fd2-5d76-8564-c97add331e09
DOI: 10.64898/2026.07.22.739582

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