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The Innovation Oncology > 2026 Vol. 1 > No. 1 > 100012
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Redefining the tumor digital twin through cross-domain manifold mapping

  • 1.

    Department of Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, China

  • 2.

    Department of Biostatistics and Health Data Science, School of Public Health, University of Pittsburgh, PA 15260, USA

  • 3.

    School of Data Science, The Chinese University of Hong Kong, Shenzhen 518172, China

  • 4.

    C3 AI, RedwoodCity, California 94063, USA

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  • Corresponding author: jianzou@cqmu.edu.cn
  • Received Date:  February 16, 2026
    Accepted Date:  April 23, 2026
    Published Online:  April 24, 2026
The Innovation Oncology  1(1),  https://doi.org/10.59717/j.xinn-oncol.2026.100012  |  Cite this article
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    • REFERENCES
  • [1] Zong W., Rahman T., Zhu L., et al. (2023). Transcriptomic congruence analysis for evaluating model organisms. Proc. Natl. Acad. Sci. USA 120:e2202584120. DOI:10.1073/pnas.2202584120

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  • Cite this article:

    Hu Y., Zong W., Wang J., et al. (2026). Redefining the tumor digital twin through cross-domain manifold mapping. The Innovation Oncology 1:100012. https://doi.org/10.59717/j.xinn-oncol.2026.100012
    Hu Y., Zong W., Wang J., et al. (2026). Redefining the tumor digital twin through cross-domain manifold mapping. The Innovation Oncology 1:100012. https://doi.org/10.59717/j.xinn-oncol.2026.100012

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