Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
A smartwatch-based AI algorithm shows high accuracy in predicting rises in levels of N terminal pro-B type natriuretic ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...
The study published in the journal BMC Medicine was led by researchers at the Queensland University of Technology and the ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
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The authors then applied six different machine-learning algorithms for subtype predictions, all scoring very good with a variety of performance measures and the selected biomarkers were challenged for ...
"It's virtually the only place we can add a large increase of new housing," said one real estate expert.
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