Your Heart 2.0 (IMAGE) American Physical Society Caption Computer simulations and machine learning can lay the groundwork for algorithms to improve diagnostic accuracy of auscultation. Research from Johns Hopkins University demonstrates how virtual stethoscope recordings from biomechanics simulations (left) can be used to develop such an algorithm, which can accurately recognize acoustic features of heart sounds from healthy (top right) and stenotic (bottom right) aortic valves. Such technology can alleviate the diagnostic subjectivity of manual auscultation and enable at-home, inexpensive self-monitoring. Credit: Shantanu Bailoor Credit Credit: Shantanu Bailoor Usage Restrictions Credit: Shantanu Bailoor License Licensed content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.