Apps and trackers are intended to guide us along the path of wellness, but research suggests the outcomes are not always ...

People with psychotic disorders are developing delusions tied to AI use. While not an official diagnosis yet, AI psychosis is ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...

By Horeb Anthony AUSTIN, TX, UNITED STATES, January 13, 2026 /EINPresswire.com/ -- Artificial intelligence has become a ...

Breakthrough AI model GluFormer predicts diabetes & cardiovascular mortality up to 12 years in advance by analyzing glucose ...

Twenty-five centuries ago, after the Greeks shattered the Persian army at Marathon, brave Pheidippides ran 26 miles to Athens ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Learned risk-taking behaviours can persist for years after leaving the lab — and even after taking on a new research topic.

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Structural health monitoring (SHM) and condition monitoring are crucial processes that ensure reliability and safety of ...