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 ...

The study published in the journal BMC Medicine was led by researchers at the Queensland University of Technology and the ...

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

The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...

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

Researchers have developed an AI-guided, shape-changing microneedle patch that speeds wound healing while reducing infection ...

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

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

A 22-year-old Stanford grad raised $11.6M to build a wearable that infers hormone levels from your wrist. Can inference ...

Smartwatches may transform blood sugar tracking, but today’s advances depend on CGMs, AI, and regulated health tech ...

AI-designed microneedles bend at body temperature to close diabetic wounds while delivering DNA therapy and antibacterial ...

The electric nose device developed by UC Berkeley engineers. (Brandon Sánchez-Mejia/UC Berkeley) If you wind up with an upset ...