Results 201 to 210 of about 156,322 (245)

Acoustic Impedance‐Tailored High‐Performance Ultrasound‐Driven Triboelectric Nanogenerators

Advanced Energy Materials, EarlyView.
An acoustic impedance–mismatched triboelectric nanogenerator is presented for efficient ultrasound energy harvesting in implantable medical devices. Concave and convex membrane patterning induces controlled acoustic impedance mismatch, which boosts output by ∼200% and ensures stable operation over 100 million cycles and six weeks in vivo, highlighting ...
Young‐Jun Kim, Youngwook Chung, Joon‐Ha Hwang, Jang‐Mook Jeong, Bosung Kim, Donghyun Kang, Byung‐Ok Choi, Hong‐Joon Yoon, Sang‐Woo Kim   +8 more
wiley   +1 more source

Multi-task learning for estimation of remote PPG and respiration signals with complex valued convolutional neural network. [PDF]

Sci Rep
Lee J, Nam Y, Won J, Baek S, Sim D, Sohn R, Park C.   +6 more
europepmc   +1 more source

Excipient Emulsion–Based Delivery Systems for Enhancing Carotenoid Bioavailability: Advances in Formulation and Gastrointestinal Fate

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Excipient emulsion systems improve carotenoid solubilization, protect against degradation, and enhance gastrointestinal absorption through optimized formulation and digestion behavior. ABSTRACT Carotenoids are bioactive compounds that contribute to human health through antioxidant, provitamin A, and disease‐preventive effects.
Tugce Ceyhan, Elifsu Nemli, Esra Capanoglu, Merve Tomas   +3 more
wiley   +1 more source

Seizure burden and treatment efficacy evaluation in anti-LGI1 autoimmune encephalitis patients using wearable device: a pilot feasibility study. [PDF]

BMJ Neurol Open
Cui J, Duque-Lopez A, Brinkmann G, Stabile A, Boney J, Faust L, Ethridge J, Worrell G, Dubey D, Brinkmann B.   +9 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Terminal ulcers in end-of-life care: a scoping review. [PDF]

BMC Palliat Care
Saguatti I, Baldessarini R, Caleffi D, Cannizzaro D, Ferri P.   +4 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Multimodal Physiological Monitoring Using Novel Wearable Sensors: A Pilot Study on Nocturnal Glucose Dynamics and Meal-Related Cardiovascular Responses. [PDF]

Bioengineering (Basel)
Yuda E, Yoshida Y, Edamatsu H, Hayano J.
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Effects of Ecological Environment on Physiological Indicators of Facial Skin in Hainan. [PDF]

J Cosmet Dermatol
Fu J, Huang W, Liang Y, Wang R, Chen X, Lu J, Wu W.   +6 more
europepmc   +1 more source