Personalized Medicine Enabled by Intelligent Sensing Systems

Present health care systems need to be adapted because important ongoing and anticipated future social and technological trends will put increasing stress on the health systems in Austria as well as in the European Union and worldwide. The aging society, globalization as well as changes related to an urban lifestyle, individualism and living alone will cause additional pressures on health services. The healthcare system is challenged further by more and more patients with multiple problems. In the traditional approach the focus lies on the treatment of diseases and not so much on the prevention or avoidance of them. Even if prevention has come more and more into focus in recent years, the development of new and improved types of sensors for simple, preferably noninvasive and uncomplicated on-site diagnostic for prevention of diseases is required. The objective of the project 'Personalised Medicine Enabled by Intelligent Sensing Systems - PI-SENS', is to contribute to the overcoming of the increasing national and international challenges in the healthcare sector. PI-SENS will provide essential know-how for innovative technologies to establish a personalised healthcare and prevention system. The PI-SENS research activities are designed to facilitate collaboration between fundamental research, applied research, technology, prototype development and innovative product development, with the support of industrial cooperation partners.The PI-SENS initiative is set to contribute to high-quality education through its collaboration with renowned national and international universities and research institutions, providing a platform for young researchers to conduct their Bachelor's, Master's and PhD theses, and attracting postdoctoral researchers to employment opportunities within the COMET project. The PI-SENS project will contribute to the development of biosensors for biomarker monitoring, e-Nose devices for odour pattern identification and organic field effect transistors, with the results being turned into prototypes, taking into account intelligent evaluation algorithms (AI). The operational project work is divided into three Areas of Expertise (Biomedical Technologies, Analysis of Endogens and Analysis of Exogens), which collaborate closely to create added value in comparison to individual projects. The PI-SENS consortium is characterised by science at the highest level, as evidenced by the large number of international and national funded projects already carried out in the field of sensor architecture development and the outstanding track record of the scientists involved.