Health
New machine learning-based approach helps detect atrial fibrillation drivers – News-Medical.Net
Researchers from Skoltech and their US colleagues have designed a new machine learning-based approach for detecting atrial fibrillation drivers, small patches of…
Reviewed by Emily Henderson, B.Sc.Oct 29 2020
Researchers from Skoltech and their US colleagues have designed a new machine learning-based approach for detecting atrial fibrillation drivers, small patches of the heart muscle that are hypothesized to cause this most common type of cardiac arrhythmia. This approach may lead to more efficient targeted medical interventions to treat the condition that is estimated to affect more than 33 million people worldwide, according to the American Heart Association….
-
General17 hours agoARIA Awards 2025 winners: Amyl & The Sniffers and Ninajirachi dominate
-
Noosa News17 hours agoPolice officer who tracked Toyah Cordingley’s phone gives evidence at Rajwinder Singh’s murder trial
-
General19 hours agoPerth man charged after investigation into organised crime and tobacco store attacks
-
General24 hours agoCrowe toasts talkback titan for platforming ‘voiceless’
