Results 181 to 190 of about 2,416,531 (333)
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 +3 more
wiley +1 more source
The Ontogenetic Development of Rapid Eye Movement Sleep in Early Life and Its Regulatory Mechanisms. [PDF]
Zhang XJ +8 more
europepmc +1 more source
Materials and System Design for Self‐Decision Bioelectronic Systems
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 +9 more
wiley +1 more source
No evidence of reactivity in accelerometry-based measurement of physical activity and sleep. [PDF]
Häusser JA +3 more
europepmc +1 more source
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 +7 more
wiley +1 more source
'Better sleep, better wellbeing': Qualitative process evaluation of a hybrid, digital cognitive behavioural therapy programme for employees with sleep and emotion regulation problems. [PDF]
Hurley-Wallace A +11 more
europepmc +1 more source
0820 Meta-Analysis of the Association of Age and Actigraphy-Assessed Sleep Across the Lifespan [PDF]
Marissa A. Bowman +10 more
openalex +1 more source
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 +7 more
wiley +1 more source

