A digital twin (DT) of the human body is a virtual representation of an individual’s physiological state, created using real-time data from sensors and medical devices, with the purpose of simulating,
predicting and optimizing health outcomes through advanced analysis and modelling. Human body DTs have the potential to revolutionize healthcare and wellness, but their responsible and effective implementation requires consideration of multiple intertwined engineering aspects.
A digital twin (DT) of the human body is a virtual representation of an individual’s physiological state, created using real-time data from sensors and medical devices, with the purpose of simulating, predicting and optimizing health outcomes through advanced analysis and modelling. Human body DTs could revolutionize healthcare and wellness, but their responsible and effective implementation requires consideration of multiple intertwined engineering aspects.
Luigi Occhipinti and colleagues at Imperial College, London and Beijing, China have written about the status and prospects of the human body DT and proposed a five-level roadmap to guide its development, from the sensing components, in the form of wearable devices, to the data collection, analysis and decision-making systems. Their Perspective article was recently published in Nature Reviews Electrical Engineering.