Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Recent data suggests a significant positive relationship between the Triglyceride-Glucose (TyG) index—a marker of insulin ...
aps the immune cell landscape of bone marrow in patients with multiple myeloma, a rare cancer that develops in the plasma ...
Abstract: Next-generation multiple access techniques are crucial for providing low-latency and highly efficient data transmission services. Recently, Deep Reinforcement Learning (DRL) has emerged as a ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...
Vividion publishes manuscript detailing the discovery and optimization of VVD-214, the company’s covalent inhibitor of WRN.
Abstract: Tracking the complex shapes of group targets, which provide essential information for situational awareness, is a critical task in group target observation. Traditional tracking methods ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
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