Biomedical engineers have developed a method using data from wearable devices such as smartwatches to digitally mimic an entire week’s worth of an individual’s heartbeats. The new ‘digital twins’ computational framework captures personalized arterial forces over 700,000 heartbeats to better predict risks of heart disease and heart attack. The advance is an important step toward evaluating the risks of heart disease or heart attack over months to years.