Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...

A comprehensive review in Current Molecular Pharmacology highlights how machine learning, molecular dynamics simulations, and hybrid AI-MD platforms are revolutionizing antimicrobial discovery. These ...

As we prepare to close out 2025, the Computer Weekly Security Think Tank panel looks back at the past year, and ahead to 2026 ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.