1. A summary presentation of the technical content of the grant application and the importance of cooperation in Hungary has taken a number of steps on the part of the state to develop the necessary framework for the development of the digitalisation of health care (e.g. DJP 2.0, EESZT, defs, etc.), while the innovative and practical application of health data is yet to be achieved. Clinical trials are one of the areas where the use of ever-increasing health data has led to market transformation. Hungary is relatively favourable in the area of clinical trials in the EU, but due to the market restructuring, the number of clinical trials in Hungary decreased significantly by around 20 % between 2016 and 2018. Although there is a huge amount of health funding data available, the data collected by healthcare providers is noisy, unstructured and incomplete and difficult to access, contributing to the deterioration of our competitiveness. This greatly limits screening against increasingly sophisticated patient selection criteria and the use of previously collected data to design clinical trials and perform retrospective data analysis. This means that it is difficult for domestic testing sites to connect to innovative international clinical trials and the backlog of non-commercial trials compared to the rest of Western Europe is increasing. The appreciation of health data is shown by the fact that international medical-biological research has achieved significant and diversified results over the last two decades, thanks to explosive biotechnology and IT developments. These have led to the transformation of medical practice and the paradigm of personalised medicine has come to the fore. Diagnostic and therapeutic approaches are molecularly based. However, in Central and Eastern Europe, a relatively early stage of the development of molecular medicine can be observed: in most cases, separate, often isolated centres provide selected diseases, usually non-comprehensive diagnostic services. The number of bioinformatics involved in the evaluation of genome-level information is low and the algorithms used do not follow user needs; health users are often unable to use molecular information; and so far, there has also been a lack of a comprehensive strategy to remedy deficit symptoms. The region’s backwardness in this area will increase exponentially as time moves forward if we do not develop an operational model that solves the above problems. The rise of smart technologies in healthcare is due to the fact that modern tools now provide cheap and efficient data on the state of health of individuals, which can be processed through advanced analytical solutions to provide targeted feedback to healthcare professionals. The technique and method of data collection, storage, processing and analysis are therefore of particular importance in the development of this type of technology. The ever-increasing costs of the health care system and the limited resources of the sector have made it increasingly important worldwide to exploit the potential of the digitalisation of health and of new data management technologies. The exploitation of the potential of health data can be catalysed by grassroots initiatives by health care providers, health industry actors and research and development teams, which aim to develop domestically adapted applications that can be used in practice. In the framework of the project, taking into account the trends and challenges described above, we intend to create a Health Data Analysis, Data Recovery and Smart Device and Technology Development Competence Centre, which in cooperation with industry can develop innovative data collection, information processing and analysis methods and use them to develop new health technologies and services. The project also aims to develop data-based health services that can better organise healthcare, reduce the burden of care for the University and its surroundings and free up resources. This proposal contributes to the development and development of the PTE-centered innovation ecosystem and strengthens regional cooperation with health industry partners and helps to improve public health indicators and quality of life in the region, as well as to stimulate the local economy. 2. Demonstration of the sustainability of the planned organisational structure and functioning of the Centre for Higher Education and Industrial Cooperation and the planned number of researchers/experts and students to be involved in its activities, as well as the planned R & D & I capacity to meet the needs of future industrial partners