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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
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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 ...
Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
When it comes to training artificial intelligence, OpenAI and Babylon Biosciences have shown that experienced hands can help steer the programs toward greater accuracy through a collaboration aimed at ...
In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...
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