Advancing 3D bioprinting through machine learning and artificial intelligence
Abstract 3D bioprinting, a vital tool in tissue engineering, drug testing, and disease
modeling, is increasingly integrated with machine learning (ML) and artificial intelligence …
modeling, is increasingly integrated with machine learning (ML) and artificial intelligence …
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches
In this work, our proof-of-concept study can be used to predict the number of cells within
printed droplets based on droplet velocity at two different points along the nozzle-substrate …
printed droplets based on droplet velocity at two different points along the nozzle-substrate …
Nasal cartilage tissue engineering materials based on 3D bioprinting: Seed cells and dECM
W Jia, X Yang, Z Liu, L Sun, Z Shen, M Li, H Zhang… - Applied Materials …, 2024 - Elsevier
The nasal cartilage plays a crucial role in supporting the nose and facilitating respiration,
however has a limited regenerative capabilities once damaged. Nasal cartilage tissue …
however has a limited regenerative capabilities once damaged. Nasal cartilage tissue …
Parameter optimization for accurate and repeatable strut width in the 3D printing of composite bone scaffolds
Critically sized bone defects present a significant challenge to orthopedic surgeons due to
the limited availability of autograft bone tissue, which is the current gold-standard treatment …
the limited availability of autograft bone tissue, which is the current gold-standard treatment …
Improvement of biological and corrosion behavior of plasma electrolytic oxidized Mg implant by 3D printed scaffold of amine-terminated PEG/PCL loaded with …
N Khoshnood, B Yarmand, A Badri… - Progress in Organic …, 2024 - Elsevier
Although magnesium-based implants have good biocompatibility and biodegradability, they
suffer from rapid corrosion in the body environment, which limits their biomedical …
suffer from rapid corrosion in the body environment, which limits their biomedical …
Adaptive fabrication of material extrusion-AM process using machine learning algorithms for print process optimization
Material extrusion (ME) is an extensively used technique in additive manufacturing for
making parts and prototypes. Optimizing the relationship between build time and material …
making parts and prototypes. Optimizing the relationship between build time and material …
[HTML][HTML] Investigation of the Effect of Preparation Parameters on the Structural and Mechanical Properties of Gelatin/Elastin/Sodium Hyaluronate Scaffolds Fabricated …
M Qamash, SM Imani, M Omidi, C Glancy… - Journal of Composites …, 2024 - mdpi.com
This paper aimed to evaluate the effects of different preparation parameters, including
agitation speed, agitation time, and chilling temperature, on the structural and mechanical …
agitation speed, agitation time, and chilling temperature, on the structural and mechanical …
AUDIT: Functional Qualification in Additive Manufacturing Via Physical and Digital Twins
Additive manufacturing (AM) has revolutionized the way we design, prototype, and produce
complex parts with unprecedented geometries. However, the lack of understanding of the …
complex parts with unprecedented geometries. However, the lack of understanding of the …