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Predicting bone regeneration from machine learning

Nature Computational Science volume 1, pages 509–510 (2021)Cite this article

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Modeling of the multiscale dynamics of new bone formation in tissue scaffolds is still challenging due to the computational complexity in solving the mechanics–material–biology interactions. Recent work proposes a machine learning approach to address this challenge.

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Fig. 1: Machine learning-based prediction of bone formation in tissue scaffolds.

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Authors and Affiliations

  1. School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Queensland, Australia

    Zhiyong Li

  2. School of Biological Science and Medical Engineering, Southeast University, Nanjing, China

    Zhiyong Li

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  1. Zhiyong Li
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Correspondence to Zhiyong Li.

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The author declares no competing interests.

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Li, Z. Predicting bone regeneration from machine learning. Nat Comput Sci 1, 509–510 (2021). https://doi.org/10.1038/s43588-021-00116-w

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