Results 71 to 80 of about 284,370 (281)

Improving Interoperability in ePrescribing

open access: yesInteractive Journal of Medical Research, 2012
BackgroundThe increased application of eServices in health care, in general, and ePrescribing (electronic prescribing) in particular, have brought quality and interoperability to the forefront.
Öhlund, Sten-Erik   +2 more
doaj   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Interoperability Testing Methodology for Smart Grids and Its Application on a DSM Use Case—A Tutorial

open access: yesEnergies, 2018
Interoperability is a challenge for the realisation of smart grids. In this work, we first present an interoperability testing methodology, which is substantial to perform interoperability tests for the smart grid.
Nikoleta Andreadou   +2 more
doaj   +1 more source

Paving the Way to Elucidate Hg's Role in Tumorigenesis

open access: yesAdvanced Science, EarlyView.
Tumorigenesis can result from diverse environmental carcinogens. Among them, mercury—a lifelong bioaccumulative Group 2B carcinogen—has tumorigenic potential that remains poorly understood due to confounding co‐exposures and limited organ‐specific data.
Shouying Li   +10 more
wiley   +1 more source

Addressing the Interoperability of Electronic Health Records: The Technical and Semantic Interoperability, Preserving Privacy and Security Framework

open access: yesApplied System Innovation
Interoperability has become crucial in the world of electronic health records, allowing for seamless data exchange and integration across diverse settings.
Adetunji Ademola   +2 more
doaj   +1 more source

Achieving QVTO & ATL Interoperability: An Experience Report on the Realization of a QVTO to ATL Computer [PDF]

open access: yes, 2009
With the emergence of a number of model transformation languages the need for interoperability among them increases. The degree at which this interoperability can be achieved between two given languages depends heavily on their paradigms (declarative vs ...
Laarman, A.W.
core   +1 more source

Climate Action Impacts on Steelmaking Emissions of Persistent Organic Pollutants Highlight a Gap Between the Paris Agreement and the Stockholm Convention

open access: yesAdvanced Science, EarlyView.
Emissions of unintentionally produced persistent organic pollutants (UPOPs) and global warming are two major environmental challenges. But their governance has largely evolved in parallel, leaving the toxicity implications of climate‐driven industrial transitions poorly understood.
Yuxiang Sun   +7 more
wiley   +1 more source

From Data Silos to Health Records Without Borders: A Systematic Survey on Patient-Centered Data Interoperability

open access: yesInformation
The widespread use of electronic health records (EHRs) and healthcare information systems (HISs) has led to isolated data silos across healthcare providers, and current interoperability standards like FHIR cannot address some scenarios.
Mohammad Ali Saberi   +2 more
doaj   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

open access: yesAdvanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu   +5 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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