Results 151 to 160 of about 803,445 (216)

Establishing a learning agenda for learning health system implementation and research in Canada. [PDF]

PLoS One
Whitmore C, Bird M, Vanderhout S.
europepmc   +1 more source

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

An artificial intelligence-powered learning health system to improve sepsis detection and quality of care: a before-and-after study. [PDF]

NPJ Digit Med
Despraz J, Matusiak R, Nektarijevic S, Rossetti V, Bastardot F, Akrour R, Konasch A, Gauthiez E, Pignolet O, Pepe S, Chiche JD, Kaufmann DE, Calandra T, Raisaro JL, Meylan S, CHUV Sepsis consortium.   +15 more
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

The learning health system imperative in low-resource contexts. [PDF]

Learn Health Syst
Lewicki P, Swarray-Deen A, Moyer CA.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS). [PDF]

J Natl Med Assoc
Wi CI, Overgaard S, Malik M, Watson D, Sharma D, Le-Rademacher J, Kelleher D, Zheng L, Ohde J, Lynch B, Khurana A, Sohn S, AlJuhani MM, Carpenter C, Arteta M, Greenwood J, Hartz M, Foss R, Polat E, Absah I, Davis C, Gupta M, Myers L, Nordlund B, Tao C, Wieland ML, Patten C, Jones A, Varkey P, Loufek BT, Vidal DE, Gopala N, Klee E, Shah VH, Halamka JD, Callstrom MR, Rider NL, Liu H, Aliferis C, D Garovic V, J Juhn Y.   +40 more
europepmc   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

A Learning Health System Approach to Developing a Perinatal Safety Framework and Guide to Reduce Disparities in Maternal Harm. [PDF]

Learn Health Syst
Thomas AD, Auguste T, Fong A, Hettinger AZ, Krevat S, Lee L, Mutondo E, Perry DF, Sutton K, Garg S, Patchen L.   +10 more
europepmc   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source