A digital twin developed at Politecnico di Torino to support the design of lung ventilation systems

A digital twin to predict the functioning of lung ventilation devices.

The ''digital twin'' of a medical device is a virtual representation of the device itself created using data and models. It allows to monitor and analyze the device's operation, optimizing performace and testing diffeent configurations or updates virtually before applying them to the real device. 

The research group led by Professor Audenino is developing at Politecnico di Torino a digital twin of an innovative non-invasive ventilation system with reduced oxygen consumption. Using engineering modeling techniques, the ongoing development of this twin will allow both to predict the behavior of the device to vary its configuration and to predict the effect of the therapy provided by the device on patients with various lung conditions. In particular, using virtual replication it is possible to evaluate different ventilation interfaces (such as a helmet or mask), providing useful information to the design of the device and its circuit, including the quality of air breathed by the patient during therapy. 

Thanks to this innovative approach, new perspectives are opening up in the field of medical design, contributing to ensure safer and more effective solutions for the well-being of patients.