Results 171 to 180 of about 30,509,203 (214)

Correction: Artificial intelligence can match domain experts in evidence extraction and critical appraisal of microbial oncogenesis research publications. [PDF]

Front Cell Infect Microbiol
Kokkas K, Wang H, Klein R, Ismail NA, Irwin N, Moonsamy MZ, Naidoo K, Nel J, Nweke EE, Parboosing R, Sekyi EK, van Dorsten RT, Bassett BA, Breiman RF.   +13 more
europepmc   +1 more source

Polyphenol‐Inspired Materials for Agricultural Applications

Advanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu, Omid Mazaheri, Zhixing Lin, Tianzheng Wang, Jingqu Chen, Yuang Gu, Xia Liang, Deli Chen, Frank Caruso   +8 more
wiley   +1 more source

Artificial Intelligence in Orthopaedics: Current Evidence and Clinical Translation Across the Patient Care Pathway. [PDF]

J Clin Med
González RN, Mello PL.
europepmc   +1 more source

Elastomeric 3D‐Printed Microenvironments Enable Nanonewton Force Measurements in Healthy and Diseased Human Pluripotent Stem Cell‐Derived Neuroepithelial Cells

Advanced Materials, EarlyView.
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena, Lucia Castillo Ransanz, Ruben H. Guis, Giulia Bergamaschi, Nanne J. Paauw, Urs Staufer, Vivi M. Heine, Angelo Accardo   +7 more
wiley   +1 more source

The global research of artificial intelligence on Alzheimer disease: A 25-year bibliometric analysis. [PDF]

Medicine (Baltimore)
Wu HY, Wang XS, Yang M, Cai J.
europepmc   +1 more source

Wearable Morphology‐Adaptive in‐Ear Device With Active Cleansing Capability for Multimodal Health Monitoring

Advanced Materials, EarlyView.
We present SCIENCE, an in‐ear multimodal physiological monitor featuring two key innovations. Water‐triggered morphological expansion (a 2‐mm cylinder to a 9‐mm spindle) achieves conformal adaptation across complex canal geometries. Simultaneously, active biofouling mitigation disrupts cerumen barriers, reducing sensor‐skin impedance by 20%.
Shuyun Zhuo, Zihuan Wu, Anan Zhang, Shideh Kabiri Ameri   +3 more
wiley   +1 more source

Artificial intelligence in infection prevention and control education: toward intelligent, real-time clinical learning systems. [PDF]

Front Public Health
Cao YL, Liu N, Wang F, Shan J, Bao XY, Jin M, Huai W, Jin YC, Jin YX, Zhang ZN, Kuang JQ.   +10 more
europepmc   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

All‐Amyloid Functional Coacervates

Advanced Materials, EarlyView.
This study introduces an all‐amyloid interfacial complex coacervate technique that employs charge‐mediated or functionalization‐assisted complexation of oppositely charged food protein‐derived amyloid nanofibrils to engineer functional soft constructs across multiple length scales.
Seyyed Alireza Hashemi, Mohammad Peydayesh, Laura Baraldi, Mohammad Arjmand, Raffaele Mezzenga   +4 more
wiley   +1 more source

Correction: AI-powered detection of cyberbullying in short-form video content: A hybrid deep learning framework. [PDF]

PLoS One
Mazhar AA, Zada I, Aldhayan M, Alsalamah S, Asiri MM, Ayadi M, Alshahrani A.   +6 more
europepmc   +1 more source