Application of machine learning in 3D bioprinting: focus on development of big data and digital twin
The application of machine learning (ML) in bioprinting has attracted considerable attention recently. Many have focused on the benefits and potential of ML, but a clear overview of how ML shapes the future of three-dimensional (3D) bioprinting is still lacking. Here, it is proposed that two missing...
Saved in:
Main Authors: | An, Jia, Chua, Chee Kai, Mironov, Vladimir |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/154957 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A Preliminary Study on the Extrusion Resolution of Pluronic F127 for Bioprinting Thermo-responsive Hydrogel Constructs
by: Suntornnond, Ratima, et al.
Published: (2016) -
Bioprinting of 3D in vitro skeletal muscle models : a review
by: Zhuang, Pei, et al.
Published: (2021) -
3D bioprinting of skin constructs for toxicology testing
by: Ng, Wei Long, et al.
Published: (2018) -
Proof-of-concept: 3D bioprinting of pigmented human skin constructs
by: Ng, Wei Long, et al.
Published: (2018) -
Bioprinting in cardiovascular tissue engineering: a review
by: Lee, Jia Min, et al.
Published: (2018)