Results 171 to 180 of about 64,270 (302)
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
Integration of Artificial Intelligence Into Extended Reality Debriefing in Healthcare Simulation: A Narrative Review. [PDF]
Khan AS, Hasan S, Ismail FW.
europepmc +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
The impact of system interaction quality on learning outcomes in online virtual experiment teaching: the mediating role of extraneous cognitive load. [PDF]
Yin P, Sun T.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Analysis of the use of virtual reality scenarios in education for the treatment of socio-emotional problems. [PDF]
Zamora RR, Espinoza Núñez LA.
europepmc +1 more source
Spatial Demands of Concurrent Tasks Can Compromise Spatial Learning of a Virtual Environment [PDF]
George Sandamas, Nigel Foreman
openalex +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Setting a research agenda for the use of extended reality in healthcare simulation: an Utstein style meeting. [PDF]
Issenberg B +8 more
europepmc +1 more source

