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Objective: This study aimed to develop and validate an interpretable machine learning model specifically for multiclass hepatic steatosis severity prediction in nonobese individuals to support early ...

Summary: A new study that used artificial intelligence to analyze routine eye photographs has unlocked a cheap, non-invasive method for predicting major Alzheimer’s disease risk factors decades before ...

LASSO (Least Absolute Shrinkage and Selection Operator) regression was employed for feature selection to identify the most salient predictors and mitigate model complexity. The optimal lambda value ...

Abstract: Aiming at predicting the key economic and technical indicators (Granularity and Ore content)in the grinding production process, the extreme learning machine (ELM) soft-sensor model with ...

Artificial intelligence has become critical to core financial and operational processes, allowing leaders to architect systems of decision-making, productivity, and governance. The Chief Financial ...

At the Center for Advanced Research in Sleep Medicine (CARSM), at Montreal's Sacré-Coeur Hospital, Université de Montréal medical professor Shady Rahayel sees many patients with RBD. "Normally, when ...

Summary: Researchers found that everyday speech timing — including pauses, fillers, and subtle patterns — strongly reflects executive function, a key cognitive system that supports memory and flexible ...

Abstract: Lower limb motor dysfunction severely impacts stroke patients’ daily activities and quality of life. Traditional assessment methods often rely on subjective clinical scales, which are ...

1 Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. It is an exciting time for researchers working to link proteins to their functions.