An explainable machine learning approach to predict fragility fractures and the identification of important features. [PDF]
Borhan S +9 more
europepmc +1 more source
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
Harnessing cutting-edge techniques to identify novel gene expression signatures in acute myeloid leukemia patients. [PDF]
Blanda A +4 more
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Deep Learning Algorithms Versus Radiologists in Digital Breast Tomosynthesis for Breast Cancer Detection: Systematic Review and Meta-Analysis. [PDF]
Lyu S, Wang Z, Mu Y, Wang L, Pei X.
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Comprehensive analysis of cefuroxime-associated adverse events: Insights from JADER database (2004-2024) and comparison with FAERS database. [PDF]
Li F, Luo J, Zhang X, Jiang C, Xia G.
europepmc +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Validation of electronic health record-based International Society on Thrombosis and Haemostasis bleeding algorithms in a US health system. [PDF]
An J +10 more
europepmc +1 more source

