Development of a Predictive Model for Identifying High-Risk Older Adults for Geriatric Emergency Department Screening. [PDF]
Hauser KA +9 more
europepmc +1 more source
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
wiley +1 more source
Total Laboratory Automation for Microbiology Activities: An HTA Analysis in an Italian Laboratory Setting. [PDF]
Foglia E +5 more
europepmc +1 more source
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett +19 more
wiley +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Automated Calculation of Sequential Organ Failure Assessment (SOFA) Score in the Intensive Care Unit: Algorithm Development, Validation, and Association With 30-Day Mortality. [PDF]
Helleberg J +5 more
europepmc +1 more source
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang +10 more
wiley +1 more source
Deep Learning-Based Automatic Glenohumeral Joint Segmentation for Determining Whether the Hill-Sachs Lesion Is On-Track or Off-Track. [PDF]
Zhou F, Yang Y, Zhao Z, Zhang H, Liu X.
europepmc +1 more source
Revolutionizing Nursing Education in Somalia: Recommendations for Integrating AI and Deep Learning in Outcome Based Assessments to Enhance Knowledge, Practice, and Graduate Competence. [PDF]
Yusuf FY, Hussein AM.
europepmc +1 more source

