Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability

J Lee, SJ Oh, SH An, WD Kim, SH Kim - Biofabrication, 2020 - iopscience.iop.org
Abstract Although three-dimensional (3D) bioprinting technology is rapidly developing, the
design strategies for biocompatible 3D-printable bioinks remain a challenge. In this study …
被引用次数：99 相关文章

Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability.

J Lee, SJ Oh, SH An, WD Kim, SH Kim - Biofabrication, 2020 - europepmc.org
Although three-dimensional (3D) bioprinting technology is rapidly developing, the design
strategies for biocompatible 3D-printable bioinks remain a challenge. In this study, we …

Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability

J Lee, SJ Oh, SH An, WD Kim, SH Kim - Biofabrication, 2020 - pubmed.ncbi.nlm.nih.gov
Although three-dimensional (3D) bioprinting technology is rapidly developing, the design
strategies for biocompatible 3D-printable bioinks remain a challenge. In this study, we …

Machine learning-based design strategy for 3D printable bioink: Elastic modulus and yield stress determine printability

J Lee, SJ Oh, SH An, WD Kim, SH Kim - Biofabrication, 2020 - khu.elsevierpure.com
Abstract Although three-dimensional (3D) bioprinting technology is rapidly developing, the
design strategies for biocompatible 3D-printable bioinks remain a challenge. In this study …

Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability

J Lee, SJ Oh, SH An, WD Kim, SH Kim - Biofabrication, 2020 - ui.adsabs.harvard.edu
Abstract Although three-dimensional (3D) bioprinting technology is rapidly developing, the
design strategies for biocompatible 3D-printable bioinks remain a challenge. In this study …