UC Berkeley researchers say a new AI model found a hidden ECG signal that could help doctors identify more people at risk ...

Engineers have developed a new way to monitor how tiny lab-grown human heart tissues beat—by effectively "listening" to the ...

OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...

Abstract: Heart disease remains a leading cause of mortality worldwide, necessitating early and accurate detection to improve patient outcomes. This paper presents a Heart Disease Prediction System ...

Abstract: This Study will explore how the IoT and machine learning predict heart disease risks through real-time wearable device and sensor data. The Cleveland and Hungarian datasets have relevant ...

A single infusion of an experimental gene-editing drug seemed to reduce LDL long-term in a small trial. The results may point to something “curative,” one expert said. By Gina Kolata In a small, ...

Haley Billey bought an Oura Ring to track her fertility. It arrived the day after she learned she was pregnant. She slipped the $450 titanium band on anyway. Months of worrisome readings on measures ...

Valve’s grim experience with the launch of the Steam Controller, where scalpers scooped up so many of the devices that they sold out in under 30 minutes, led it to announce an improved system of ...

A tool developed by the American Heart Association (AHA), proven to accurately predict heart disease risk for Americans, can be applied to the global population, a new study led by NYU Langone Health ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...

With a Whoop health tracker strapped to my wrist for the past year, I’ve had an unusually detailed window into my biology – sleep, blood oxygen, steps and, most intriguingly, heart rate variability, ...

Claude Code offers a structured approach to managing tasks, with workflows designed to address everything from straightforward linear processes to highly complex, autonomous operations. Simon Scrapes ...