AIMC Topic: Tissue Engineering
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Learning-Based Cell Injection Control for Precise Drop-on-Demand Cell Printing.
Annals of biomedical engineering
Jun 5, 2018
Drop-on-demand (DOD) printing is widely used in bioprinting for tissue engineering because of little damage to cell viability and cost-effectiveness. However, satellite droplets may be generated during printing, deviating cells from the desired posit...
Assessing functional connectivity across 3D tissue engineered axonal tracts using calcium fluorescence imaging.
Journal of neural engineering
Jun 1, 2018
OBJECTIVE: Micro-tissue engineered neural networks (micro-TENNs) are anatomically-inspired constructs designed to structurally and functionally emulate white matter pathways in the brain. These 3D neural networks feature long axonal tracts spanning d...
Substrate stiffness affects neural network activity in an extracellular matrix proteins dependent manner.
Colloids and surfaces. B, Biointerfaces
Mar 27, 2018
Neuronal growth, differentiation, extension, branching and neural network activity are strongly influenced by the mechanical property of extracellular matrix (ECM). However, the mechanism by which substrate stiffness regulates a neural network activi...
Kinase inhibitor screening using artificial neural networks and engineered cardiac biowires.
Scientific reports
Sep 18, 2017
Kinase inhibitors are often used as cancer targeting agents for their ability to prevent the activation of cell growth and proliferation signals. Cardiotoxic effects have been identified for some marketed kinase inhibitors that were not detected duri...
Optimized Repopulation of Tendon Hydrogel: Synergistic Effects of Growth Factor Combinations and Adipose-Derived Stem Cells.
Hand (New York, N.Y.)
Mar 15, 2016
Tendon-derived extracellular matrix (ECM) hydrogel has been shown to augment tendon healing in vivo. We hypothesized that reseeding of the gel with adipose-derived stem cells (ASCs) could further assist repopulation of the gel and that combinations ...
Coefficient of Friction Patterns Can Identify Damage in Native and Engineered Cartilage Subjected to Frictional-Shear Stress.
Annals of biomedical engineering
Feb 18, 2015
The mechanical loading environment encountered by articular cartilage in situ makes frictional-shear testing an invaluable technique for assessing engineered cartilage. Despite the important information that is gained from this testing, it remains un...
Non-destructive assessment of tissue engineered cartilage maturity using visible and near infrared spectroscopy combined with machine learning.
Biosensors & bioelectronics
Oct 15, 2025
Tissue engineering is a promising approach to address the unmet clinical need for treating cartilage damage. Monitoring the characteristics of tissue-engineered cartilage constructs (TECs) during culture is critical for optimizing culture conditions ...
Beyond 3D Printing: How AI is Shaping the Future of Craniomaxillofacial Bone Tissue Engineering.
ACS biomaterials science & engineering
Jun 9, 2025
This perspective focuses on the potential of artificial intelligence (AI) in craniomaxillofacial (CMF) bone tissue engineering, mitigating current challenges, and driving the development of tailored biomaterials and clinical translation. CMF bone tis...
Comparative analysis of deep learning models for predicting biocompatibility in tissue scaffold images.
Computers in biology and medicine
Jun 1, 2025
MOTIVATION: Bioprinting enables the creation of complex tissue scaffolds, which are vital for tissue engineering. However, predicting scaffold biocompatibility before fabrication remains a critical challenge, potentially leading to inefficiencies and...
What insights can spatiotemporal esophageal atlases and deep learning bring to engineering the esophageal mucosa?
Developmental cell
May 5, 2025
In this issue of Developmental Cell, Yang et al. present an integrated experimental and computational platform that maps the spatiotemporal development of the human esophagus and predicts key signaling pathways governing epithelial differentiation. T...
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