Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

In this retrospective cohort analysis, researchers aimed to identify key predictors of trial enrollment among cancer patients.

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

Google's December Pixel update introduced a flickering always-on display bug affecting Pixel 10 devices. The issue emerged ...