Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Engineers have developed a new way to monitor how tiny lab-grown human heart tissues beat—by effectively "listening" to the ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

An international team, including the University of Tokyo, has created a sensor inspired by the lateral line in fish - their ...

OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...