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: Using the advantages of modern web technologies, this project utilizes powerful data modelling characteristics of Prisma and dynamic front-end capacities of Next.js to design a Learning ...