A new study published in the Journal of Neuroimmunology1 indicates that disease severity of muscle-specific kinase (MuSK) myasthenia gravis (MG) could be linked to MuSK antibody levels. The ...
During the COVID-19 pandemic, the atmosphere temporarily lost its ability to break down methane, leading to a huge spike in ...
This paper makes an initial attempt to account for differences in the technologies used by women- and men-run businesses, that is, technological “heterogeneity,” for better understanding productivity ...
New research published in Operations Research shows that health care systems can substantially reduce overtime, idle time, and overall staffing costs by adopting a multilocation, dynamic ...
Background Primary healthcare (PHC) is critical towards achieving Universal Health Coverage (UHC). In Ghana, PHC is organised ...
A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving yield estimates for this key agricultural region and potentially providing ...
Tesla’s domestic sales in China collapsed 45% year-over-year in January, falling to just 18,485 units — the automaker’s lowest ...
Tia's high-engagement primary care model is driving strong clinical outcomes for women, consistently outperforming national benchmarks, the hybrid women's health provider reports. | The findings ...
The latest in z.ai's ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for enterprise deployment – and, in one of several notable achievements, achieves a ...
Binge drinking is defined as more than five drinks for men, and more than four for women, on a single occasion over the course of a couple of hours, the good folks at the Orange County Health Care ...
Enterprise AI adoption is widespread in ambition and uneven in execution. Across industries, organizations are experimenting with machine learning and generative models, training teams, and deploying ...
Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
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