AIMC Topic: Tissue Engineering
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Mapping Biomaterial Complexity by Machine Learning.
Tissue engineering. Part A
Sep 12, 2024
Biomaterials often have subtle properties that ultimately drive their bespoke performance. Given this nuanced structure-function behavior, the standard scientific approach of one experiment at a time or design of experiment methods is largely ineffic...
Editorial for Special Issue on Artificial Intelligence in Tissue Engineering and Biology.
Tissue engineering. Part A
Aug 29, 2024
3D-printed microrobots for biomedical applications.
Biomaterials science
Aug 20, 2024
Microrobots, which can perform tasks in difficult-to-reach parts of the human body under their own or external power supply, are potential tools for biomedical applications, such as drug delivery, microsurgery, imaging and monitoring, tissue engineer...
Precision improvement of robotic bioprinting via vision-based tool path compensation.
Scientific reports
Aug 1, 2024
Robotic 3D bioprinting is a rapidly advancing technology with applications in organ fabrication, tissue restoration, and pharmaceutical testing. While the stepwise generation of organs characterizes bioprinting, challenges such as non-linear material...
Sustainable biofabrication: from bioprinting to AI-driven predictive methods.
Trends in biotechnology
Jul 27, 2024
Biofabrication is potentially an inherently sustainable manufacturing process of bio-hybrid systems based on biomaterials embedded with cell communities. These bio-hybrids promise to augment the sustainability of various human activities, ranging fro...
A practical machine learning approach for predicting the quality of 3D (bio)printed scaffolds.
Biofabrication
Jul 25, 2024
3D (Bio)printing is a highly effective method for fabricating tissue engineering scaffolds, renowned for their exceptional precision and control. Artificial intelligence (AI) has become a crucial technology in this field, capable of learning and repl...
Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials.
Cardiovascular engineering and technology
Jul 2, 2024
BACKGROUND AND OBJECTIVE: Advanced material models and material characterization of soft biological tissues play an essential role in pre-surgical planning for vascular surgeries and transcatheter interventions. Recent advances in heart valve enginee...
Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability.
Journal of the mechanical behavior of biomedical materials
Jun 17, 2024
Currently, the use of autografts is the gold standard for the replacement of many damaged biological tissues. However, this practice presents disadvantages that can be mitigated through tissue-engineered implants. The aim of this study is to explore ...
Application of Artificial Intelligence in Tissue Engineering.
Tissue engineering. Part B, Reviews
Apr 22, 2024
Tissue engineering, a crucial approach in medical research and clinical applications, aims to regenerate damaged organs. By combining stem cells, biochemical factors, and biomaterials, it encounters challenges in designing complex 3D structures. Arti...
An explainable machine learning-based probabilistic framework for the design of scaffolds in bone tissue engineering.
Biomechanics and modeling in mechanobiology
Feb 28, 2024
Recently, 3D-printed biodegradable scaffolds have shown great potential for bone repair in critical-size fractures. The differentiation of the cells on a scaffold is impacted among other factors by the surface deformation of the scaffold due to mecha...
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