The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial ...

Sheng Di, a computational scientist in the Mathematics and Computer Science division at the U.S. Department of Energy’s (DOE) ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Balance athletic goals with arrhythmia risk: match the device model and sensor to the sport, and use stress testing to set detection zones and avoid inappropriate therapy.

BACKGROUND: It remains unclear whether social determinants contribute to major ECG abnormalities (MEA), an early marker of cardiovascular disease, which predicts adverse cardiovascular events and ...

Windows quietly squeezing memory so your PC doesn't have to panic.

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...