Page 156 - v11i4
P. 156

International Journal of Bioprinting                                         AI for sustainable bioprinting




            Author contributions                               9.   Faber L, Yau A, Chen Y. Translational biomaterials of
                                                                  four-dimensional bioprinting  for tissue regeneration.
            Conceptualization: Hongyi Chen                        Biofabrication. 2024;16(1):012001.
            Supervision: Jie Huang                                doi: 10.1088/1758-5090/acfdd0
            Visualization: Hongyi Chen                         10.  Zhang YS, Haghiashtiani G, Hübscher T, et al. 3D extrusion
            Writing–original draft: Hongyi Chen                   bioprinting. Nat Rev Methods Primers. 2021;1(1):75.
            Writing–review & editing: Hongyi Chen, Jie Huang      doi: 10.1038/s43586-021-00073-8

            Ethics approval and consent to participate         11.  Zhou J, See CW, Sreenivasamurthy S, Zhu D. Customized
                                                                  additive manufacturing in bone scaffolds—the gateway to
            Not applicable.                                       precise bone defect treatment. Research. 2023;6:0239.
                                                                  doi: 10.34133/research.0239
            Consent for publication                            12.  Senior AW, Evans R, Jumper J, et al. Improved protein
            Not applicable                                        structure prediction using potentials from deep learning.
                                                                  Nature. 2020;577(7792):706-710.
                                                                  doi: 10.1038/s41586-019-1923-7
            Availability of data
                                                               13.  Jumper J, Evans R, Pritzel A, et al. Highly accurate
            Not applicable.                                       protein structure prediction with AlphaFold.  Nature.
                                                                  2021;596(7873):583-589.
            References                                            doi:  10.1038/s41586-021-03819-2

                                                               14.  Chen H, Liu Y, Balabani S, Hirayama R, Huang J. Machine
            1.   Murphy SV, De Coppi P, Atala A. Opportunities and   learning in predicting printable biomaterial formulations
               challenges of translational 3D bioprinting. Nat Biomed Eng.   for direct ink writing. Research. 2023;6:0197.
               2020;4(4):370-380.                                 doi: 10.34133/research.0197
               doi: 10.1038/s41551-019-0471-7
                                                               15.  Elbadawi M, Li H, Sun S, Alkahtani ME, Basit AW, Gaisford
            2.   Mota C, Camarero-Espinosa S, Baker MB, Wieringa P,   S. Artificial intelligence generates novel 3D printing
               Moroni L. Bioprinting: from tissue and organ development   formulations. Appl Mater Today. 2024;36:102061.
               to in vitro models. Chem Rev. 2020;120(19):10547-10607.  doi: 10.1016/j.apmt.2024.102061
               doi: 10.1021/acs.chemrev.9b00789
                                                               16.  Zhang Z, Zhou X, Fang Y, Xiong Z, Zhang T. AI-driven
            3.   Kim JJ, Cho D-W. Advanced strategies in 3D bioprinting   3D bioprinting for regenerative medicine: From bench to
               for vascular tissue engineering and disease modelling using   bedside. Bioact Mater. 2025;45:201-230.
               smart bioinks. Virtual Phys Prototyp. 2024;19(1):e2395470.  doi: 10.1016/j.bioactmat.2024.11.021
               doi: 10.1080/17452759.2024.2395470
                                                               17.  Abramson J, Adler J, Dunger J, et al. Accurate structure
            4.   Narayan R, Yoo J, Atala A. 3D bioprinting: physical and   prediction of biomolecular interactions with AlphaFold 3.
               chemical processes. Appl Phys Rev. 2021;8(3).      Nature. 2024;630(8016):493-500.
               doi: 10.1063/5.0060283                             doi: 10.1038/s41586-024-07487-w
            5.   Yilmaz B, Al Rashid A, Mou YA, Evis Z, Koç M. Bioprinting:   18.  Chen H, Zhang B, Huang J. Recent advances and applications
               a review of processes, materials and applications. Bioprinting.   of artificial intelligence in 3D bioprinting.  Biophys Rev.
               2021;23:e00148.                                    2024;5(3):031301.
               doi: 10.1016/j.bprint.2021.e00148                  doi: 10.1063/5.0190208
            6.   Sun X, Ren W, Xie L, et al. Recent advances in 3D bioprinting   19.  Thompson A. Employing artificial intelligence to augment
               of tissues and organs for transplantation and drug screening.   3D bioprinting. Scilight. 2024;2024(29):291104.
               Virtual Phys Prototyp. 2024;19(1):e2384662.        doi: 10.1063/10.0028061
               doi: 10.1080/17452759.2024.2384662
                                                               20.  Filippi M, Mekkattu M, Katzschmann RK. Sustainable
            7.   Chua CK, An J, Fan S, et al. A perspective on transformative   biofabrication: from bioprinting to AI-driven predictive
               bioprinting. IJB. 2024;11(1):1–29.                 methods. Trends Biotechnol. 2025;43(2):290-303.
               doi: 10.36922/ijb.3525                             doi: 10.1016/j.tibtech.2024.07.002
            8.   Jain P, Kathuria H, Dubey N. Advances in 3D bioprinting   21.  Foyt DA, Norman MDA, Yu TTL, Gentleman E. Exploiting
               of tissues/organs for regenerative medicine and in-vitro   Advanced Hydrogel Technologies to Address Key
               models. Biomaterials. 2022;287:121639.             Challenges in Regenerative Medicine.  Adv Healthc Mater.
               doi: 10.1016/j.biomaterials.2022.121639            2018;7(8):1700939.





            Volume 11 Issue 4 (2025)                       148                            doi: 10.36922/IJB025170164
   151   152   153   154   155   156   157   158   159   160   161