Results 261 to 270 of about 2,256,813 (334)
Advanced Healthcare Materials, EarlyView.Hybrid wrinkled topographies coordinate immune, tissue, and bacterial interactions. The surfaces promote osteointegration, tune macrophage polarization, and inhibit biofilm formation, highlighting a multifunctional strategy for next‐generation implant design.
Mohammad Asadi Tokmedash +4 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Neural electrodes face a mechanical mismatch with brain tissue. This study proposes a bioelectromechanical coupling strategy using an ultra‐flexible electrode designed for synchronized motion. Optimized to match brain tissue stiffness, it achieves dual signal acquisition and micromotion sensing, with characterized interfacial forces and piezoresistive ...
Donglei Chen +11 more
wiley +1 more source
Microphysiological Systems of Lymphatics and Immune Organs
Advanced Healthcare Materials, EarlyView.This review surveys recent progress in engineering lymphatic microenvironments and immune organoids within microphysiological systems, emphasizing innovative strategies to recreate the biochemical and biophysical complexity of native lymphatic tissues.
Ishita Jain +2 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Models of the human skin must combine the relevant biological contents and suitable biomaterials with the correct spatial organization. Performing compound screening on such in vitro models also requires fast and reproducible production methods of the models.
Elisa Lenzi +7 more
wiley +1 more source
Development of a Synthetic 3D Platform for Compartmentalized Kidney In Vitro Disease Modeling
Advanced Healthcare Materials, EarlyView.A fully synthetic, compartmentalized 3D kidney disease model is introduced. The kidney model combines a PEG‐based hydrogel matrix with anisotropic, enzymatically degradable rod‐shaped microgels to spatially arrange a triple co‐culture of key renal epithelial, endothelial, and fibroblast cells.
Ninon Möhl +8 more
wiley +1 more source
Driver Visual Attention Before and After Take-Over Requests During Automated Driving on Public Roads. [PDF]
Hum FactorsPipkorn L, Dozza M, Tivesten E.
europepmc +1 more source
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Attention-Based Interrelation Modeling for Explainable Automated Driving
IEEE Transactions on Intelligent Vehicles, 2023Automated driving desires better performance on tasks like motion planning and interacting with pedestrians in mixed-traffic environments. Deep learning algorithms can achieve high performance in these tasks with remarkable visual scene understanding and
Zhengming Zhang +4 more
semanticscholar +1 more source
Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving
IEEE Robotics and Automation Letters, 2023Offline reinforcement learning (RL) provides a framework for learning decision-making from offline data and therefore constitutes a promising approach for real-world applications such as automated driving (AD). Especially in safety-critical applications,
Christopher Diehl +4 more
semanticscholar +1 more source
Collaborative Dynamic 3D Scene Graphs for Automated Driving
IEEE International Conference on Robotics and Automation, 2023Maps have played an indispensable role in enabling safe and automated driving. Although there have been many advances on different fronts ranging from SLAM to semantics, building an actionable hierarchical semantic representation of urban dynamic scenes ...
Elias Greve +4 more
semanticscholar +1 more source
The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review
IEEE Transactions on Intelligent Vehicles, 2023Automated driving has the potential to revolutionize personal, public, and freight mobility. Beside accurately perceiving the environment, automated vehicles must plan a safe, comfortable, and efficient motion trajectory.
Steffen Hagedorn +3 more
semanticscholar +1 more source