Projektdaten
MedWaveImage - Microwave imaging technology transfer to innovate the medical sector
Fakultät/Einrichtung
Informatik und Automatisierung
Drittmittelgeber
Europäische Union
Bewilligungssumme, Auftragssumme
215.600,00 €
Abstract:
The territorial challenges that will be tackled by the MEDIMAGE project are related to public health, medicine and life sciences, one of the
smart specialisation technology priorities for Central Europe. In particular, the MEDIMAGE project will focus on the improvement of the health
care infrastructures in Central Europe, where, due to the demographic change, the medical undersupply in peripheral and rural areas is a big
challenge, and needs to be counteracted in the foreseeable future.
The central technology implemented within the MEDIMAGE project will be microwave imaging (MWI) that has great potentialities to tackle the
identified challenges and needs. First, it uses low-power nonionizing radiations, so there is no-risk for patients that increases its acceptance.
Second, MWI devices are portable, cost-efficient and with easy maintenance thanks to the implemented hardware, widely used for telecom
purposes. This will allow their wide-spread in Central Europe peripheral and rural areas, via a low-cost improvement of the national health
care systems, without requiring large novel infrastructures.
ln the MEDIMAGE project, the technology and innovation knowledge on microwave imaging, developed by the university partners at research
level, will be transferred to territorial SMES. This skills transition to SMES will allow a combination with artificial intelligence in order to realise
novel medical devices, that will be introduced into the clinical environment by partner hospitals.
The main project result will be the realization and clinical introduction of medical devices based on MWI for wide-spread diseases of high
socio-economic impact in Central Europe: neck cancer, breast cancer and cerebrovascular diseases. They will be tested, via a pilot action, in
three hospitals that have specific expertise to fit the project aim making them optimal for the feasibility testing.