BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including dementia.
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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 ...
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Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...
A structured data ownership model—rooted in ICH GCP principles, supported by MHRA and FDA interpretations, and documented in validated system specifications—will enable sponsors to maintain compliance ...
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
A poor night’s sleep may do more than leave one tired the next day — it could also signal serious health risks years in advance. Researchers from Stanford Medicine have developed a new artificial ...
Chase Markel, a University of Wyoming Ph.D. student from Wheatland, is harnessing artificial intelligence (AI) to transform ...
Strong data engineering practices—supported by governance frameworks, quality controls, and ethical safeguards—are what ...
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