The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...
This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...
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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
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Smartphone motor tests can predict dopamine deficiency in Parkinson’s disease without brain scans
Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...
Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
Overview: Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...
New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before organ dysfunction develops.
Researchers identified distinct demographic, clinical, and serologic predictors of incident LVSD and cardiac recovery among patients with SSc.
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