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AI in immunology

Mapping T helper cell targets with deep learning

By integrating multi-dimensional data with deep learning, a new method known as ImmuScope predicts both major histocompatibility complex class II (MHC-II) presentation and T helper cell immunogenicity. ImmuScope shows potential to accelerate neoantigen discovery and vaccine design.

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Fig. 1: ImmuScope framework from data integration to T cell activation.

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Correspondence to Yuan Liu or Leng Han.

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Liu, Y., Han, L. Mapping T helper cell targets with deep learning. Nat Mach Intell 7, 1190–1191 (2025). https://doi.org/10.1038/s42256-025-01081-z

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