Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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 ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

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

Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...

Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

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

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...