Sepsis in patients with cirrhosis carries an in-hospital mortality exceeding 40%, reflecting a pathophysiology distinct from ...
Abstract: This paper provides a comprehensive review of the evolution of artificial intelligence from early symbolic, rule-based systems to modern large language models (LLMs) and retrieval-augmented ...
Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...
Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...
The Smart Home Market is no longer a niche it is a high-velocity battleground driven by IoT proliferation, AI-enabled automation, and rising consumer demand for connected ecosystems. Penetration rates ...
Five core crypto forecasting methods compared: technical analysis, on-chain metrics, sentiment scoring, fundamental analysis, ...
As artificial intelligence becomes increasingly central to modern healthcare, Nigerian statistician and AI expert Oladimeji ...
Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...
Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Modern AI agents require continuous monitoring, testing, and optimization to deliver reliable results. Leading platforms help track performance, detect errors, improve prompts, reduce costs, and ...
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