A team of international scientists and risk assessment experts has developed a foundational blueprint for an innovative ...
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.
We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...
Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...
This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...
Study: Genetic association and machine learning improve the prediction of type 1 diabetes risk. Image credit: sasirin pamai/Shutterstock.com Researchers performed genetic association analysis and ...
Abstract: Voltage sag, swell, harmonics, and transients are power quality (PQ) disturbances that damage modern electrical apparatus. This paper presents an effective classification approach using ...
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