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AI for healthcare data

On board with COMET to improve omics prediction models

Nature Machine Intelligence volume 7, pages 168–169 (2025)Cite this article

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The performance of omics prediction models can be significantly improved by combining limited patient proteomic data with widely available electronic health records.

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Fig. 1: Illustration of COMET’s two-step learning process.

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Acknowledgements

The authors thank A. Tenenbaum, the illustrator who created the figure with the imaginary COMET train.

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Authors and Affiliations

  1. Data Services, ForvisMazars, Courbevoie, France

    Paul Fogel

  2. Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, DC, USA

    George Luta

Authors
  1. Paul Fogel
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  2. George Luta
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Correspondence to Paul Fogel.

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The authors declare that they have no competing interests as defined by Nature Research, or other interests that might be perceived to influence the interpretation of the article.

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Fogel, P., Luta, G. On board with COMET to improve omics prediction models. Nat Mach Intell 7, 168–169 (2025). https://doi.org/10.1038/s42256-025-00990-3

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