[HTML][HTML] A review on voids of 3D printed parts by fused filament fabrication
Y Tao, F Kong, Z Li, J Zhang, X Zhao, Q Yin… - Journal of Materials …, 2021 - Elsevier
Fused filament fabrication (FFF), also known as fused deposition modeling (FDM™), is
considered one of the most promising additive manufacturing (AM) methods for its versatility …
considered one of the most promising additive manufacturing (AM) methods for its versatility …
[HTML][HTML] Biomaterials/bioinks and extrusion bioprinting
Bioinks are formulations of biomaterials and living cells, sometimes with growth factors or
other biomolecules, while extrusion bioprinting is an emerging technique to apply or deposit …
other biomolecules, while extrusion bioprinting is an emerging technique to apply or deposit …
[HTML][HTML] Machine learning in predicting mechanical behavior of additively manufactured parts
S Nasiri, MR Khosravani - Journal of materials research and technology, 2021 - Elsevier
Although applications of additive manufacturing (AM) have been significantly increased in
recent years, its broad application in several industries is still under progress. AM also …
recent years, its broad application in several industries is still under progress. AM also …
Printability and cell viability in extrusion-based bioprinting from experimental, computational, and machine learning views
A Malekpour, X Chen - Journal of functional biomaterials, 2022 - mdpi.com
Extrusion bioprinting is an emerging technology to apply biomaterials precisely with living
cells (referred to as bioink) layer by layer to create three-dimensional (3D) functional …
cells (referred to as bioink) layer by layer to create three-dimensional (3D) functional …
Harnessing artificial intelligence for the next generation of 3D printed medicines
Artificial intelligence (AI) is redefining how we exist in the world. In almost every sector of
society, AI is performing tasks with super-human speed and intellect; from the prediction of …
society, AI is performing tasks with super-human speed and intellect; from the prediction of …
[HTML][HTML] 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 …
recently. Many have focused on the benefits and potential of ML, but a clear overview of how …
Machine learning for bioelectronics on wearable and implantable devices: challenges and potential
Bioelectronics presents a promising future in the field of embedded and implantable
electronics, providing a range of functional applications, from personal health monitoring to …
electronics, providing a range of functional applications, from personal health monitoring to …
The role of machine learning and design of experiments in the advancement of biomaterial and tissue engineering research
Optimisation of tissue engineering (TE) processes requires models that can identify
relationships between the parameters to be optimised and predict structural and …
relationships between the parameters to be optimised and predict structural and …
[HTML][HTML] Evaluation of printing parameters on 3D extrusion printing of pluronic hydrogels and machine learning guided parameter recommendation
Bioprinting is an emerging technology for the construction of complex three-dimensional
(3D) constructs used in various biomedical applications. One of the challenges in this field is …
(3D) constructs used in various biomedical applications. One of the challenges in this field is …
Optimized 3D bioprinting technology based on machine learning: A review of recent trends and advances
The need for organ transplants has risen, but the number of available organ donations for
transplants has stagnated worldwide. Regenerative medicine has been developed to make …
transplants has stagnated worldwide. Regenerative medicine has been developed to make …