Jointly modeling cardiovascular biomarkers

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Jointly modeling cardiovascular biomarkers
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Signal generation

Nature Machine Intelligence (2026)Cite this article

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Capturing the complexity of cardiovascular dynamics demands multiple monitoring modalities, each with inherent trade-offs. Diffusion-based modeling offers a promising route for synthesizing and generating cross-modal data.

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Fig. 1: The three branches — denoising, imputation and translation — of UniCardio when trained on and used to analyze ECG, PPG and ABP signals.

References

  1. Pinsky, M. R. Clin. Chest Med. 24, 549–560 (2003).

    Article  Google Scholar 

  2. Kim, K. B. & Baek, H. J. Electronics 12, 2923 (2023).

    Article  Google Scholar 

  3. Chen, Z. et al. Nat. Mach. Intell. https://doi.org/10.1038/s42256-025-01147-y (2026).

    Article  Google Scholar 

  4. Janapala, R. N. et al. Cureus 11, e5634 (2019).

    Google Scholar 

  5. Paviglianiti, A., Randazzo, V., Pasero, E. & Vallan, A. 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) https://doi.org/10.1109/i2mtc43012.2020.9129361 (IEEE, 2020).

  6. Ibtehaz, N. et al. Bioengineering 9, 692 (2022).

    Article  Google Scholar 

  7. Liu, Z. et al. J. Am. Heart Assoc. 11, e023555 (2022).

    Article  Google Scholar 

  8. American Academy of Sleep Medicine. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications (AASM, 2023).

  9. Chen, J., Yu, K., Bi, Y., Ji, X. & Zhang, D. Brain Sci. 14, 1022 (2024).

    Article  Google Scholar 

  10. Makowski, D. et al. Behav. Res. Methods 53, 1689–696 (2021).

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Duke University School of Medicine, Durham, NC, USA

    Sully F. Chen

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Correspondence to Sully F. Chen.

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The author declares no competing interests.

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Chen, S.F. Jointly modeling cardiovascular biomarkers. Nat Mach Intell (2026). https://doi.org/10.1038/s42256-025-01172-x

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