Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
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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 ...
Abrar Ahmed Syed bridges AI research and healthcare by architecting scalable cloud platforms and innovative edge-intelligence ...
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 ...
This layered approach reflects common best practices in embedded AI, where deterministic safeguards complement probabilistic ...
(NASDAQ: NXXT ), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today ...
Modern approach to DSPM has one glaringly clear weak spot, neglecting a key aspect of enterprise data usage: the fact that ...
Data quality and interoperability become critical enablers. Agentic systems rely on timely, accurate information from across ...
The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...
Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
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