Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out ...

Two "ambitious" projects to provide an earlier diagnosis of motor neurone disease (MND) are set to launch in Leeds. The work ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

The heart sound recordings can be saved on the device, which can then be used to detect signs of heart valve disease. The researchers are also developing a machine learning algorithm which can ...

The heart sound recordings can be saved on the device, which can then be used to detect signs of heart valve disease. The researchers are also developing a machine-learning algorithm that can ...

The Cambridge team is also developing a machine-learning algorithm that can detect signs of valve disease automatically.

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

it can quickly learn to detect these irregularities. By improving pretraining, researchers can make machine learning algorithms better and more efficient at detecting diseases and disorders.