Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Recent findings suggest that the Epstein-Barr virus (EBV) is involved in both causing multiple sclerosis (MS) and shaping its ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

The authors ask whether a simple whole-head spectral power analysis of human magnetoencephalography data recorded at rest in a large cohort of adults shows robust effects of age, and their results ...

The authors sought to understand the differential impact of payer-led community-based care management approaches on stakeholder-oriented outcomes for publicly insured adults with multiple chronic ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Aromatic amines are used widely in industry as chemical ...

ABSTRACT: This study explores a comprehensive statistical model for analyzing rental apartment prices per square meter in Munich, Germany. The research investigates key quantitative and qualitative ...

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...

Abstract: We present a novel setting of active learning (AL) where multiple target models are simultaneously learned. This setting arises in real-world applications where machine learning systems ...