A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

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

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of a next-generation biocompatible titanium alloy, potentially improving the ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...