JMIR Publications today featured two new stories in its News and Perspectives section, highlighting a shift toward proactive, ...

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in children with early-life AD.

Researchers at the University of Pennsylvania have developed CAMEL, an AI model that can forecast cardiac arrest 10 to 15 minutes before it occurs by analyzing ECG patterns like language. The system ...

Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, and the discovery of safe and effective therapies continues to face ...

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

Mammograms detect tumors, but they can also identify calcifications in breast blood vessels – a sign of cardiovascular disease. (mr.suphachai praserdumrongchai/iStock) From Philly and the Pa. suburbs ...

Abstract: In recent times, Machine Learning has played a significant role in the healthcare industry and amongst all of the major diseases, heart disease is one of the significant and most critical ...

Note: A previous version of this story was published on Jan. 9, 2025. If you're headed out to shovel a path after Indiana's most recent snowfall, the American Heart Association has encouraged Hoosiers ...