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The current and future landscape of AI foundation models for cancer management
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  • Published: 28 April 2026

The current and future landscape of AI foundation models for cancer management

  • Chuang Niu  ORCID: orcid.org/0000-0002-3310-78031 &
  • Ge Wang  ORCID: orcid.org/0000-0002-2656-77051 

Nature Communications (2026) Cite this article

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Subjects

  • Cancer screening
  • Cancer therapy
  • Machine learning
  • Prognostic markers
  • Software

AI foundation models (FMs) are transforming cancer management and research. Here, we analyze the state-of-the-art FMs, discuss their impact on cancer management, and argue that the next generation of cancer AI FMs will be defined by multimodality, enhanced reasoning, maximized openness, and sustained human guidance.

Acknowledgements

This work was partially supported by NIH/NIBIB R01EB032716.

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  1. Rensselaer Polytechnic Institute, Troy, NY, USA

    Chuang Niu & Ge Wang

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  1. Chuang Niu
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  2. Ge Wang
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Correspondence to Chuang Niu or Ge Wang.

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The authors declare no competing interests.

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Cite this article

Niu, C., Wang, G. The current and future landscape of AI foundation models for cancer management. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72576-5

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  • Received: 23 July 2025

  • Accepted: 14 April 2026

  • Published: 28 April 2026

  • DOI: https://doi.org/10.1038/s41467-026-72576-5

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