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 ...

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic retinal neurodegeneration (DRN), according to a study published online June 2 ...

Researchers evaluated whether accelerometer-derived sleep-wake characteristics can enhance dementia risk prediction models in older adults.

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed ...

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

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

Chronic wounds remain a major healthcare challenge, especially for people with diabetes, who often experience delayed healing ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Abstract: Cyber-Physical Systems (CPS) embed computation and communication capability into its core to regulate physical processes and seamlessly mediate between the cyber and the physical world for ...