Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...
Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
Also highlighting the civilian casualties of the first 40 days of the US-Iran war, why carbon capture won’t solve climate ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Analyzing thousands of proteins from a single drop of blood is no longer science fiction. High-throughput proteomics has transformed biomarker discovery by enabling simultaneous profiling of thousands ...
Background C-reactive protein (CRP) is commonly used to assess systemic inflammation, yet its prognostic value in acute ...
Abstract: With the explosive growth of data volume and computing capability, federated learning, which involves constructing global models over multiple data islands, has demonstrated its advantages ...
Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
Background Rheumatic heart disease (RHD) remains a major cause of morbidity and mortality in low-resource settings, ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
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