Results 111 to 120 of about 6,534,602 (244)

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

Advanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek, Junhwa Oh, Hyeonjung Kim, Minsik Park, Haein Cho, Jin Young Park, Hyeonchang Son, Taeyun Kim, Sung‐Un An, Yamin Zhang, Hyeon‐Jin Shin, Seyong Oh, Dong‐Ho Kang   +12 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

A Novel Drug‐Loaded Porous Parylene Electrode for Targeted Anti‐Inflammatory Therapy and Hearing Preservation in Cochlear Implantation

Advanced Healthcare Materials, EarlyView.
A porous parylene‐coated electrode loaded with dexamethasone was developed to reduce inflammation after cochlear implantation. In guinea pigs, the device provided sustained drug release, maintained biocompatibility, improved auditory brainstem response thresholds, and reduced inflammatory cell infiltration and TNF‐α expression.
Chi‐Chieh Chang, Ying‐Chang Lu, Yu‐Ming Chang, Yen‐Hui Chan, Hong‐Yu Yan, Yi‐Shan Lee, Pei‐Hsuan Lin, Cheng‐Yu Hsieh, Chuan‐Jen Hsu, Tien‐Chen Liu, Hsien‐Yeh Chen, Chen‐Chi Wu   +11 more
wiley   +1 more source

Mitochondria‐Targeted Nanotherapies in Aging Neurodegenerative Disorders: Emerging Prospects and Clinical Potential

Advanced Healthcare Materials, EarlyView.
Mitochondria‐targeted nanotherapies emerge as a promising strategy for combating aging‐associated neurodegenerative disorders (NDs) by restoring mitochondrial function, reducing oxidative stress, and improving neuronal survival. Recent advances in nanotechnology, therapeutic delivery, and translational research are highlighted, providing insights into ...
Dnyandev G. Gadhave, Ashish B. Jadhav, Nitin B. Waghamode, Shubham Khot, Rajiya Khan, Ravi Hole, Shankar M. Dhobale, Manoj Aswar, Keshav Raj Paudel   +8 more
wiley   +1 more source

How is Nanoarchitectonics Shaping Extracellular Vesicle Research?

Advanced Healthcare Materials, EarlyView.
The convergence of nanoarchitectonics and extracellular vesicle biology is reshaping next‐generation nanomedicine by enabling rationally designed nanostructures for enhanced EVs detection, engineering, and therapy. ABSTRACT Extracellular vesicles (EVs) have gained recognition as crucial mediators of cell‐to‐cell communication, holding immense potential
Madushani Dahanayake, Md Shahriar A. Hossain, Chia‐Hung Liu, Carlos Salomon, Yusuke Yamauchi, Mostafa Kamal Masud   +5 more
wiley   +1 more source

Fault classification using an Artificial Neural Network based on Vibrations from a Reciprocating Compressor [PDF]

, 2010
Reciprocating compressors are widely used in industry for various purposes and faults occurring in them can degrade performance, consume additional energy, and even cause severe damage to the machine.
Gu, Fengshou, Ahmed, Mahmud
core   +1 more source

Advancing Human Skin Equivalents: The Crucial Role of Neurovascular Integration

Advanced Healthcare Materials, EarlyView.
This review discusses the importance of integrating vascular and peripheral nerve systems into human skin equivalents (HSEs) to better recapitulate native skin physiology. Recent advances in vascularized, innervated, and neurovascularized HSEs are highlighted, together with emerging bioengineering strategies, current challenges, and future ...
Hao Wu, Lorenzo Moroni, Nicolas Lebonvallet, Vincent Flacher, Paul Wieringa   +4 more
wiley   +1 more source

Magnetically Driven Biofabrication for Tissue Engineering: From Nanoparticle Design to Mag‐ATMP Translation

Advanced Healthcare Materials, EarlyView.
Magnetically responsive nanoparticles enable remote control over biomaterials, cells, and engineered tissues. This review summarizes material design, biological safety, fabrication and actuation strategies, computational validation, and translational pathways that support the development of magnetic tissue‐engineering platforms and future magnetically ...
Konstantinos Ioannidis, Dimitrios Lefas, Maya Guilliams, Jackie Van Grootenbril, Isaak Decoene, Dimitrios Sakellariou, Bart Smeets, Stefanos Mourdikoudis, Ioannis Papantoniou   +8 more
wiley   +1 more source

Optical Detection of Cellular Signals at Material Interfaces

Advanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren, Jitong Ren, Zixin Zhang, Koney Eungkon Kim, Francis L. Hong, Yuecheng Peter Zhou   +5 more
wiley   +1 more source