Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study ...

North Korean threat actors are escalating the PolinRider supply chain attack across Go, Packagist, and npm package ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...

Abstract: Contribution: This research-to-practice full paper presents “GAIDE: Generative AI for Instructional Development and Education,” introducing a pragmatic and systematic framework for employing ...

Abstract: Miniaturized vision-based tactile sensors (VBTSs) are essential for compact and high-resolution surface perception in constrained environments. However, conventional lens-based imaging ...