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Bioprinting Organs—Science or Fiction?—A Review From Students to Students
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu +18 more
wiley +1 more source
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin +5 more
wiley +1 more source
Aerosol jet printing enables rapid, customizable fabrication of flexible, fully gold multi‐electrode arrays (MEAs) for organotypic bioelectronic interfaces. The printed MEAs exhibit stable electrochemical performance, cytocompatibility, and functionality in recording and stimulation, including integration with 3D‐printed constructs.
Ernest Cheah +7 more
wiley +1 more source
3D Printing Strategies for Bioengineering Human Cornea
This review highlights recent progress in 3D bioprinting strategies for engineering human corneas. Key aspects include the replication of corneal transparency, curvature, and biomechanical properties, alongside innovations in recent advancements in 3D printing methods, which benefit in overcoming current challenges.
Yunong Yuan +4 more
wiley +1 more source
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MapReduce-based Capsule Networks
2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), 2019Currently, artificial intelligence technology is attracting much attention, and image processing field is also making remarkable progress in recognition rate through CNN models. Furthermore, Capsule Network which is flexible in changing pose of image is being studied in various fields by improving disadvantage of Pooling Layer of CNN model.
Sun Jin Park, Ho-Hyun Park
openaire +1 more source
Graph Clustering With Graph Capsule Network
Neural Computation, 2022AbstractGraph clustering, which aims to partition a set of graphs into groups with similar structures, is a fundamental task in data analysis. With the great advances made by deep learning, deep graph clustering methods have achieved success. However, these methods have two limitations: (1) they learn graph embeddings by a neural language model that ...
Xianchao, Zhang +5 more
openaire +2 more sources
2019
Multi-view learning attempts to generate a model with a better performance by exploiting information among multi-view data. Most existing approaches only focus on either consistency or complementarity principle, and learn representations (or features) of the multi-view data. In this paper, to utilize both complementarity and consistency simultaneously,
Jian-wei Liu +5 more
openaire +1 more source
Multi-view learning attempts to generate a model with a better performance by exploiting information among multi-view data. Most existing approaches only focus on either consistency or complementarity principle, and learn representations (or features) of the multi-view data. In this paper, to utilize both complementarity and consistency simultaneously,
Jian-wei Liu +5 more
openaire +1 more source
Gastrointestinal tract drug delivery using algae motors embedded in a degradable capsule
Science Robotics, 2022Fangyu Zhang, Zhengxing Li
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