Digital medicine, the ability to stream continuous information from the body to gain insight into health status, manage disease, and predict onset health problems, is only gradually developing. Key technological hurdles that slow the proliferation of this approach are means by which clinical grade biosignals are continuously obtained without frequent user interaction. To overcome these hurdles, solutions in power supply and interface strategies that maintain high-fidelity readouts chronically are critical. This work introduces a previously unexplored class of devices that overcomes the limitations using digital manufacturing to tailor geometry, mechanics, electromagnetics, electronics, and fluidics to create unique personalized devices optimized to the wearer. These elastomeric, three-dimensional printed, and laser-structured constructs, called biosymbiotic devices, enable adhesive-free interfaces and the inclusion of high-performance, far-field energy harvesting to facilitate continuous wireless and battery-free operation of multimodal and multidevice, high-fidelity biosensing in an at-home setting without user interaction.
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http://dx.doi.org/10.1126/sciadv.abj3269 | DOI Listing |
J Med Internet Res
January 2025
Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Background: The rapid shift to video consultation services during the COVID-19 pandemic has raised concerns about exacerbating existing health inequities, particularly for disadvantaged populations. Intersectionality theory provides a valuable framework for understanding how multiple dimensions of disadvantage interact to shape health experiences and outcomes.
Objective: This study aims to explore how multiple dimensions of disadvantage-specifically older age, limited English proficiency, and low socioeconomic status-intersect to shape experiences with digital health services, focusing on video consultations.
J Chem Inf Model
January 2025
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Predicting protein-protein interactions (PPIs) is crucial for advancing drug discovery. Despite the proposal of numerous advanced computational methods, these approaches often suffer from poor usability for biologists and lack generalization. In this study, we designed a deep learning model based on a coattention mechanism that was capable of both PPI and site prediction and used this model as the foundation for PPI-CoAttNet, a user-friendly, multifunctional web server for PPI prediction.
View Article and Find Full Text PDFJ Occup Environ Hyg
January 2025
Department of Environmental, Agricultural & Occupational Health, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska.
Software-driven wearable technologies are emerging as a control for heat-related illnesses. Such devices collect biometric data and estimate risk noninvasively. However, little is known about workplace implementation strategies and stakeholder acceptance of the devices.
View Article and Find Full Text PDFJ Infus Nurs
December 2024
Author Affiliations: Elaine Marieb College of Nursing, Elaine Marieb Center for Nursing & Engineering Innovation, University of Massachusetts Amherst, Amherst, Massachusetts.
Intravenous pumps (IVPs) deliver IV medications to millions of acute care patients each year and result in many adverse events reported to the US Food and Drug Administration (FDA). Although the use of IVPs has improved overall safety, there are still high rates of error that risk the safety of all patients, especially those of advanced age and those suffering from critical illness. Most of the documented errors are based on clinician reports, although there is reason to believe that errors due to flow rate inaccuracy go undetected and unreported.
View Article and Find Full Text PDFAdv Mater
January 2025
Innovation Center for Textile Science and Technology, College of Textiles, Donghua University, Shanghai, 201620, China.
Textiles have played a pivotal role in human development, evolving from basic fibers into sophisticated, multifunctional materials. Advances in material science, nanotechnology, and electronics have propelled next-generation textiles beyond traditional functionalities, unlocking innovative possibilities for diverse applications. Thermal management textiles incorporate ultralight, ultrathin insulating layers and adaptive cooling technologies, optimizing temperature regulation in dynamic and extreme environments.
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