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

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

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

The study "Seasonal forecasting of European heat waves using a feature selection framework," published in Communications Earth & Environment, demonstrates how machine learning (ML) and artificial ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...

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.