A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

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 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 ...

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

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Engaging System 2 requires significant metabolic energy. Your brain consumes a lot of your body’s energy as it is; intense ...

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

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Study finds fatty diets reprogram liver cells, raising cancer risk Every meal you eat could be quietly shaping your liver’s ...