Sepsis in patients with cirrhosis carries an in-hospital mortality exceeding 40%, reflecting a pathophysiology distinct from ...
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 ...
Background The use of biological response modifying drugs (BRMDs) in women of reproductive age is increasing, with reassuring ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Also highlighting the civilian casualties of the first 40 days of the US-Iran war, why carbon capture won’t solve climate ...
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 ...
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 ...
Background C-reactive protein (CRP) is commonly used to assess systemic inflammation, yet its prognostic value in acute ...
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 ...
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