Together with 9 European partners, EPFL has launched a pan-European research program called DIGIPREDICT (contraction of digital and predicting). The goal is to develop a digital twin that can detect serious complications in Covid-19 patients, employing breakthrough technology in the fields of artificial intelligence, smart patches and organs-on-chips. The initiative brings together around a dozen partner organizations universities, hospitals and startups, including the four following EPFL labs:
- The Nanoelectronic Devices Laboratory headed by Adrian Ionescu (STI)
- The Embedded Systems Laboratory headed by David Atienza (STI)
- The Laboratory of Movement Analysis and Measurement headed by Kamiar Aminian (STI)
- The Machine Learning and Optimization Laboratory headed by Martin Jaggi (IC)
The DIGIPREDICT digital twin will be designed specifically for healthcare applications. It will consist of a smart patch with integrated technology for collecting a range of medical data, such as blood oxygen levels, breathing rate and body temperature. The patches will also include nanosensors linked to an artificial-intelligence program in order to continually track specific biomarkers that indicate a cytokine storm may be brewing.
“This multi- and cross-disciplinary project will combine scientific excellence with engineering know-how, and leverage the expertise of doctors, biologists, electrical engineers, computer scientists, signal-processing engineers and social scientists from across Europe,” says Ionescu.
“DIGIPREDICT will change how doctors see and evaluate the trajectories of individual Covid-19 patients. And we hope that it will also improve the prevention, diagnosis, monitoring and treatment of cardiovascular disease.” says Alexander Meyer, professor of Clinical AI and Data Science at Charité.
DIGIPREDICT will bring together around 50 scientists to develop the first device of its kind. A prototype should be ready in around two years; clinical trials will follow.
Read full article: DIGIPREDICT digital twin will predict the evolution of Covid-19 16.12.20
Lecture: Adrian M. Ionescu: Digipredict – Wearable devices to predict disease outcome at Swiss Congress for Remote Emergency Medicine and Digital Health 2021, April, 2021
- The first international research project supported by EPFL’s Center for Intelligent Systems
- The Center for Intelligent Systems (CIS) will be responsible for promoting DIGIPREDICT and disseminating its findings. “This is the first international research project our center is supporting,” says Jan Kerschgens, Executive Director of CIS. “And we’re proud to take part in Digipredict – an initiative that combines cross-cutting lines of research in all aspects of intelligent systems, and which valorizes the bringing together of research partners both inside and outside EPFL.”
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017915 (DIGIPREDICT).