A groundbreaking new study published in NeuroImage: Reports demonstrates that whole-brain Single Photon Emission Computed ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
A UK Biobank study of nearly 390,000 people mapped 251 NMR-derived plasma metabolic traits against hundreds of health traits, ...
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 ...
Objective SLE is a heterogeneous systemic autoimmune disease with diverse clinical manifestations. We aimed to identify ...
A washable, stretchable fabric sensor embedded directly into clothing can recognize yoga postures with 94.4% accuracy, ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...
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