Driven by increasing compliance requirements, escalating customer expectations, and growing concerns over safety and grid reliability, utility companies are seeking innovative solutions for managing ...
Please provide your email address to receive an email when new articles are posted on . Race-specific machine learning models demonstrated greater prognostic value in the prediction of 10-year HF ...
A machine learning (ML) model using standard laboratory values and clinical data can help predict hepatocellular carcinoma (HCC) risk in patients with metabolic dysfunction-associated steatotic liver ...
Researchers used advanced machine learning to increase the accuracy of a national cardiovascular risk calculator while preserving its interpretability and original risk associations. Risk calculators ...
As part of "shift left" to incorporate security discussions earlier in the software development life cycle, organizations are beginning to look at threat modeling to identify security flaws in ...
Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
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