First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...
Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...
Think tank IMPI defends its 14% inflation forecast, citing data-driven analysis of economic reforms and a predictive ...
When elected officials dismiss data collection and statistics that have met the test of time yet tell a story that they ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...
High-precision measurements from the KATRIN experiment strongly limit the existence of light sterile neutrinos and narrow the search for new physics. Neutrinos are extremely difficult to detect, yet ...
Background Multiple long-term conditions (MLTCs) are common among individuals with heart failure (HF); however, the influence ...
Major international organizations, including the World Bank and the International Monetary Fund, have recently raised their ...