In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
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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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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