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for 3D-printed green electronics applications,” grant commercial bioprinters-Towards 3D bioprinting revolution!
agreement no. 2017FWC3WC; and (iv) the Regione Int J Bioprint, 4: 139.
Toscana project TRITONE (bando ricerca e salute 2018).
https://doi.org/10.18063/IJB.v4i2.139
Conflict of interest 6. Groll J, Burdick JA, Cho DW, et al., 2018, A definition
The authors declare that they have no known competing of bioinks and their distinction from biomaterial inks.
financial interests or personal relationships that could Biofabrication, 11: 013001.
have appeared to influence the work reported in this paper. 7. Bonatti AF, Chiesa I, Vozzi G, et al., 2021, Open-source
CAD-CAM simulator of the extrusion-based bioprinting
Author contributions process. Bioprinting, 24: e00172.
Conceptualization: Carmelo De Maria https://doi.org/10.1016/j.bprint.2021.e00172
Formal analysis: Carmelo De Maria 8. Schwab A, Levato R, D’Este M, et al., 2020, Printability
Funding acquisition: Giovanni Vozzi and Chee Kai Chua and shape fidelity of bioinks in 3D bioprinting. Chem Rev,
Investigation: Amedeo Franco Bonatti 120: 11028–11055.
Methodology: Amedeo Franco Bonatti and Carmelo De
Maria https://doi.org/10.1021/acs.chemrev.0c00084
Software: Amedeo Franco Bonatti 9. Paxton N, Smolan W, Böck T, et al., 2017, Proposal to assess
Supervision: Giovanni Vozzi and Chee Kai Chua printability of bioinks for extrusion-based bioprinting and
Validation: Amedeo Franco Bonatti evaluation of rheological properties governing bioprintability.
Writing – Original draft: Amedeo Franco Bonatti Biofabrication, 9: 044107.
Writing – Review and editing: Carmelo De Maria
https://doi.org/10.1088/1758-5090/aa8dd8
Ethics approval and consent to participate 10. Di Pietro L, Ravizza A, Vozzi G, et al., 2019, European
regulatory framework for the clinical translation of bioprinted
Not applicable.
scaffolds and tissues. Biomed Sci Eng, 3: 108.
Consent for publication https://doi.org/10.4081/bse.2019.108
11. Yu C, Jiang J, 2020, A perspective on using machine learning
Not applicable.
in 3D bioprinting. Int J Bioprint, 6: 253.
Availability of data https://doi.org/10.18063/ijb.v6i1.253

The dataset collected in this study is available at: https:// 12. An J, Chua CK, Mironov V, 2021, Application of machine
doi.org/10.5281/zenodo.7024007. The code to train and learning in 3D bioprinting: Focus on development of big data
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