Can an Unenhanced Reduced-Dose ECG-Gated CT of the Aorta Replace an ECG-Gated CT-Angiography for Diameter Follow-Up of the Ascending Aorta? [PDF]
Saliba T +5 more
europepmc +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
A Data-Centric Approach for Health Care and Research in a Health Knowledge Management Platform: Implementation and Requirement-Based Evaluation Study. [PDF]
Schreiweis B +5 more
europepmc +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
What's new in digital and computational pathology 2026: advances in adoption, standards, AI technologies, and clinical integration. [PDF]
Sevim S, Hajar C, Sonawane S.
europepmc +1 more source
Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
Hydrological dataset on mediterranean catchments of the real collobrier observatory for 1967-2024. [PDF]
Folton N, Arnaud P, Tolsa M.
europepmc +1 more source
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source
Perceived benefits and constraints of artificial intelligence integration in teachers' college libraries: a TAM-based study. [PDF]
Chibidi I, Magwa L.
europepmc +1 more source
Implementing Artificial Intelligence in Radiology: Design Thinking Road Map. [PDF]
Monnaka VU +3 more
europepmc +1 more source

