Results 221 to 230 of about 2,583,146 (294)
Machine Learning to Enhance Electronic Detection of Diagnostic Errors.
Zimolzak AJ +6 more
europepmc +1 more source
Development of a novel strategy to reduce diagnostic errors in real-time polymerase chain reaction using probe-based techniques. [PDF]
Kim HJ +10 more
europepmc +1 more source
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Exploring Clinical Lessons Learned by Experienced Hospitalists from Diagnostic Errors and Successes. [PDF]
Kotwal S, Howell M, Zwaan L, Wright SM.
europepmc +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Definitions and Measurements for Atypical Presentations at Risk for Diagnostic Errors in Internal Medicine: Protocol for a Scoping Review. [PDF]
Harada Y +4 more
europepmc +1 more source
A high‐performance stretchable multimodal sweat‐sensing patch is developed by integrating a MOF‐derived molybdenum carbide nano‐octahedron/polypyrrole (MoCx‐Oct@PPy) nanohybrid onto SEBS‐transferred laser‐engraved graphene electrodes. The nanohybrid‐based patch incorporates four sensors for the monitoring of glucose, vitamin C, Na+, and pH in sweat ...
Zahidul Islam +8 more
wiley +1 more source

