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 ...

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 ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...