Results 171 to 180 of about 1,676,547 (251)

Osteoarthritis Therapeutics: From Microenvironment Understanding to Regenerative Intervention-Current Advances and Future Perspectives. [PDF]

Orthop Surg
Meng Y, Wu S, Liu Q.
europepmc   +1 more source

Mechanical Programming of PEGDA‐β‐CD Polyrotaxane‐Based Hydrogels via Host–Guest Molecular Recognition

Advanced Functional Materials, EarlyView.
A mechanically programmable hydrogel for tissue engineering is developed by modulating the molecular threading density of poly(ethylene glycol) diacrylate‐β‐cyclodextrin (PEGDA‐β‐CD) polyrotaxane and combining it with β‐CD‐modified gelatin. The polyrotaxane‐guided transition from disordered pores to laminar microstructures enables precise tuning ...
Shiyi Chen, Xudan Xing, Haopu Su, Dominik Voll, Xiaohe Xu, Jiafeng Wan, Tongtong Cui, Christian W. Schmitt, Stefan Bräse, Peng Li, Patrick Théato   +10 more
wiley   +1 more source

Reinforcement learning-guided multi-objective trajectory planning for obstacle avoidance in robotic manipulators. [PDF]

Sci Rep
Zhao Z, Hao S, Jin B, Liu L, Li Z.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Erratum to "Ginsenoside Rg1 alleviates post-ischemic stroke neuroinflammation by inhibiting CKLF1-mediated suppression of dead/dying neuron clearance" [Acta Pharmaceutica Sinica B 16 (2026) 3632-3654]. [PDF]

Acta Pharm Sin B
Fan P, Ruan Y, Hu K, Wang H, Ye J, Wang S, Yuan R, Yang G, Liu F, He W, Li G, Yan X, Chu S, Zhang Z, Chen N.   +14 more
europepmc   +1 more source

Multistage, Self‐Sensing Artificial Muscles With Coordination From Liquid Crystal Elastomer‐Graphene Composite Fibers

Advanced Functional Materials, EarlyView.
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang, Xuelin Wu, Yinding Chi, Qingya Huang, Yaoye Hong, Antonio Proctor Martinez, Jingxian Wu, Bingzhi He, Cynthia Sung, Shu Yang   +9 more
wiley   +1 more source

Mammalian cell-derived extracellular vesicles remodel the immune-repair microenvironment in osteoarthritis: from pathological signal transmission to regenerative therapy. [PDF]

Front Immunol
Zhang L, Yang X, Yu Y, Yang L.
europepmc   +1 more source

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source

Injectable Hydrogels for the Treatment of Temporomandibular Joint Osteoarthritis: From Tissue-Engineering Scaffolds to Joint Lubricants and Mechanical Buffers. [PDF]

Pharmaceutics
Huang C, Yuan Y, Yu Z, Feng X, Zheng B, Liu Y.   +5 more
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source