A new “digital twins” computational framework captures personalized arterial forces over 700,000 heartbeats using smartwatch data to better predict risks of heart disease and heart attack. Heart attack – illustrative photo. Image credit: Pixabay (Free Pixabay license) Biomedical engineers at Duke University have developed a method using data from wearable devices such as smartwatches to...