Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

Laboratory findings show biochar's role in enhancing thermal resistance and moisture stability in living wall systems, promoting sustainable urban design.

Reporting quality in clinical research is critical for evidence-based medicine and reproducibility of clinical studies. Previous work has mostly focused on the reporting quality of clinical trials and ...

Amid growing market volatility and increasing information density across global financial markets, traders are placing ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint ...