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 ...

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

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 ...

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, ...

Doctors have been drilled for decades on the four big risks for heart disease, which kills more Americans every year than any other illness. The fearsome foursome: hypertension, smoking, high levels ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, a serious sleep disorder ...