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 ...

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

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

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

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

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