A smartwatch-based AI algorithm shows high accuracy in predicting rises in levels of N terminal pro-B type natriuretic ...

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

A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...

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 healthcare challenge, especially for people with diabetes, who often experience delayed healing ...

Chronic diabetic wounds heal slowly and are highly vulnerable to infection. Researchers have developed an AI-guided, 4D-printed microneedle patch that actively closes wounds, fights bacteria, and ...

A major clinical trial involving 50 hospital intensive care units (ICUs) throughout New Zealand and Australia will test if artificial intelligence (AI) can help doctors save more patients’ lives who ...

In the late 2000s, “mobile-first” emerged as a design discipline. The argument was a single sentence: don’t design for the big screen and squeeze it down. Start with the small screen, the harder ...

Glucose tracking is moving beyond diabetes care as CGMs, AI platforms, and wearable sensors reshape personalized health data and wellness tools. Blood sugar is becoming the next number wellness ...

To this point, determination of genetic risk for Type 1 diabetes mostly has been limited to people with well-known and well-documented risk profiles. But with a machine learning tool created by ...

Although peripheral artery disease (PAD) is an important diabetes complication, a substantial proportion of cases occur among individuals without diabetes. This study aimed to assess the predictive ...

AI models have been helping with predictions for a while now. Doctors, weather forecasters and stock brokers all use AI to try to peek into the future. Inside the Leibniz Supercomputing Centre in ...