Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
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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 ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
New data from Marktechpost uncovers how machine learning is transforming scientific discovery worldwide — and which countries and institutions are driving the shift. A first-of-its-kind analysis of ...
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