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 ...

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

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

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 ...

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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, ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

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 ...

Scientists developed an AI-powered MRI body composition calculator using data from over 66,000 adults, revealing how hidden changes in fat and muscle with age can signal future risks of diabetes, ...

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 ...