Correction: Shin et al. Optimized 3D Bioprinting Technology Based on Machine Learning: A Review of Recent Trends and Advances. Micromachines 2022, 13, 363
Jaemyung Shin, Yoonjung Lee, Zhangkang Li, Jinguang Hu, Simon S. Park, Keekyoung Kim

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
Topics3D Printing in Biomedical Research · Innovative Microfluidic and Catalytic Techniques Innovation · Cell Image Analysis Techniques
1. Error in Figure 3
In the original publication [1], the authors did not receive copyright permission for subfigure B of Figure 3. Figure 3 has been corrected, and the subfigure in question has been replaced with the new one created by the authors. Figure 3. Modalities for bioprinting technologies. (A) Extrusion-based bioprinting. (B) Scaffold-free bioprinting. (C) Inkjet bioprinting. (D) Laser-induced forward transfer bioprinting (adapted from [32] with permission).
In the original paper [1], Reference 67 was incorrectly cited in the caption of Figure 4. The correct citation is Reference 66. The correct reference that should be cited in Figure 4’s caption appears below:
- Lee, J.; Oh, S.J.; An, S.H.; Kim, W.-D.; Kim, S.-H. Machine learning-based design strategy for 3D printable bioink: Elastic modulus and yield stress determine printability. Biofabrication 2020, 12, 035018.
With this correction, the order of references does not need to be adjusted.
The authors state that the scientific conclusions are unaffected. The correction was approved by the Academic Editor. The original publication has also been updated.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
