Results 171 to 180 of about 218,233 (245)

A Physiological Microfluidic Blood–Brain‐Barrier Model for In Vitro Study of Nanoparticle Trafficking and Accumulation

Advanced Healthcare Materials, EarlyView.
A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen, Neona M. Lowe, Sophia Kellogg, Kuan‐Wei Huang, Hannah O'Toole, Elizabeth J. Hale, Venktesh S. Shirure, Bhupinder S. Shergill, Steven C. George, Randy P. Carney   +9 more
wiley   +1 more source

Error-related potentials in EEG signals: feature-based detection for human-robot interaction. [PDF]

Sci Rep
Fava A, Villani V, Sabattini L.
europepmc   +1 more source

A Data Driven Review of In Vitro Electrical and Mechanical Stimulation for Post‐Acute Phase Wound Healing

Advanced Healthcare Materials, EarlyView.
This review examines how in vitro electrical and mechanical stimulation modulates wound healing in fibroblasts and keratinocytes. Analyzing over 560 experimental data points, we relate stimulation parameters to proliferation and migration outcomes, evaluate platform designs, and highlight the need for multi‐parameter optimization to advance targeted ...
Matthew K. Burgess, Ellen F. Marsh, Veronica M. Lucian, Malavika Nair   +3 more
wiley   +1 more source

Physical human-robot interaction mediates the association of motor impairment and kinematic performance for poststroke arm rehabilitation. [PDF]

BMC Sports Sci Med Rehabil
Chen ZJ, Chen Y, Xu J, Huang XL, He C.
europepmc   +1 more source

Epidermal Patch Technologies for Integrated Healthcare and Infection Management

Advanced Healthcare Materials, EarlyView.
Epidermal patches have evolved from simple wound coverings into multifunctional, skin‐conformable platforms integrating drug delivery, biosensing, and therapeutic functionalities. This review highlights their material innovations, fabrication strategies, and intelligent designs, including hydrogels, microneedles, and flexible electronics, while ...
Yuqi Wang, Atakan Tevlek, Pawel L. Urban, Boaz Mizrahi, Onome Ejeromedoghene, Roshan Deen, Yuanjing Lin, Jagan Mohan Dodda   +7 more
wiley   +1 more source

HRI-confusion: A multimodal dataset for modelling and detecting user confusion in situated human-robot interaction. [PDF]

Data Brief
Li N, Courtney J, Ross R.
europepmc   +1 more source

Fully Wireless and Flexible Valves for Multiplexed and Prolonged Intravesical Liquid Release

Advanced Healthcare Materials, EarlyView.
A fundamental mechanism for the simultaneous control of multiple magnetic valves is reported in a miniature soft robotic patch for intravesical drug delivery, enabling fully wireless and programmable liquid release. Integrated with a bioadhesive interface and induction‐coupling‐based liquid volume sensing, the soft robotic patch is promising to enable ...
Boyang Xiao, Yi Zhu, Yusheng Wang, Janene M. Pierce, Jeffrey J. Tosoian, Xiaoguang Dong   +5 more
wiley   +1 more source

An improved facial emotion recognition system using convolutional neural network for the optimization of human robot interaction. [PDF]

Sci Rep
Raj R, Demirkol I.
europepmc   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

A multi-user multi-robot multi-goal multi-device human-robot interaction manipulation benchmark. [PDF]

Front Robot AI
Yoshida A, Dossa RFJ, Di Vincenzo M, Sujit S, Douglas H, Arulkumaran K.   +5 more
europepmc   +1 more source