Results 121 to 130 of about 148,378 (289)

Kidney Organoids in Drug Development: Integrating Technological Advances and Standardization for Effective Implementation

Advanced Healthcare Materials, EarlyView.
This review examines how emerging enabling technologies enhance the physiological relevance, scalability, and reproducibility of kidney organoids, while advanced analytical approaches support model validation and deepen mechanistic insight into nephrotoxicity.
Helen Kearney, Silvia M. Mihăilă, Lorenzo Moroni, Carlos Mota   +3 more
wiley   +1 more source

The effects of sleep positions and sleep stages in obstructive sleep apnea

Journal of Health Science and Medical Research (JHSMR), 2009
Objective: To determine the effect of sleep positions and sleep stages on the apnea hypopnea index (AHI) with oxygen desaturation (OD) vs. without OD in obstructive sleep apnea (OSA) patients.
C Bamrungsena, SL Geater
doaj  

Cryptic stage of sleeping sickness trypanosome developing in choroid plexus epithelial cells. [PDF]

, 1983
M.O. Abolarin, David A. Evans, G. Tovey, W.E. Ormerod, E Pj, J Deacon, D Ducasson, A Brendel, Khan, Pj, P Jarrit, I Cullum, E Williams, S Larsson, E Williams, C Parker, R Roy, D Rankin, A Holland, M Brown, W Ormerod, S Venkatesan, J Seed, H Effron, F Jennings, D Whitlaw, P Holmes, Hgb Chizyuka, G Urquhart, D Evans, Caj Brightman, A Clarkson, F Brohn, Whr Lumsden, C Kimber, D Evans, S Doig, D Evans, D Ellis, D Ellis, W Ormerod, Whr Lumsden, Eae Van Mark, Le Ray, D Beckers, A Jacob, W Wery, M Gigase, Plj, M Rifkin   +49 more
openalex   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Current status and prospects of automatic sleep stages scoring: Review. [PDF]

Biomed Eng Lett, 2023
Gaiduk M, Serrano Alarcón Á, Seepold R, Martínez Madrid N.   +3 more
europepmc   +1 more source

Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields

, 2016
Pedro Fonseca, Niek Den Teuling, Xi Long, Ronald M. Aarts   +3 more
openalex   +2 more sources

Ultra‐Sensitive Nanofiber‐Based Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Advanced Materials, EarlyView.
A multidimensional molecular strategy optimizes the tribonegative layer by electrospinning PVDF‐HFP for dipole alignment and crystallinity, followed by 2D borophene doping to enhance conductivity and charge trapping. Integrated with Nylon‐66 nanofibers, the composite device delivers a record sensitivity of 53.8 ± 1.2 V kPa−1 at 3 Hz, enabling ultra ...
Sajib Roy, Bhaskar Dudem, Md Delowar Hussain, Vlad Stolojan, Seyedeh Sadrieh Emadian, Satheesh Krishnamurthy, Jae Sung Yun, S. Ravi P. Silva   +7 more
wiley   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek, Sabyrzhan Oralkhan, Adeliya Anash, Nuriya Nurbergenova, Azat Balapan, Azamat Yeshmukhametov, Yeltay Rakhmanov, Gulnur Kalimuldina   +7 more
wiley   +1 more source

Differences in intestinal motility during different sleep stages based on long-term bowel sounds. [PDF]

Biomed Eng Online, 2023
Wang G, Chen Y, Liu H, Yu X, Han Y, Wang W, Kang H.   +6 more
europepmc   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source