Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...
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AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Both Fulham and Nottingham Forest are struggling and are way below their projected league positions. The importance of today's clash goes beyond the three points. Forest have started climbing the ...
Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Rapid global population aging is reshaping healthcare systems, with older adults accounting for an increasing share of disease burden, healthcare ...
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