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Who we are

Project partners

Charite Universität Berlin (Germany)

Scientific Coordinator

The Centre for Neurology, Neurosurgery and Psychiatry is one of the world’s leading centres for Neurological Diseases and is widely renowned for stroke research and treatment applying multidisciplinary approaches. Within the centre the “Modelling of Stroke” research group headed by Dr. Dietmar Frey comprises an interdisciplinary team of neurologists, neurosurgeons and software developers with a focus on mechanistic and phenomenological modelling in stroke. The group members were and are involved in projects developing a novel mechanistic biophysiological model that can predict blood flow and perfusion in stroke patients as well predictive imaging-based phenomenological models for stroke outcome. A focus of the group is the translation of modelling approaches into usable clinical applications with a dedicated software development team. Additionally, the group has a strong cooperation with the Centre for Stroke Research Berlin (CSB). The CSB provides a unique infrastructure where a dedicated team of neurologists provides 24/7 surveillance of all Charité hospitals for inclusion of stroke patients in clinical studies. With approx. 3000 strokes per year and the trial team concept, Charité is exceptionally qualified for the conduct of high-volume state-of-the-art clinical studies. The unique skill profile of the “Modelling of Stroke” team bridging clinical expertise, modelling expertise and software development is a major asset for the proposal qualifying Charite for the scientific lead. 

Dietmar Frey Vince Madai Michelle Livne Jasmin Kopetzki


empirica Gesellschaft für Kommunikations- und Technologieforschung mbH (Germany)

Administrative Coordinator

empirica Communication and Technology Research based in Bonn, Germany, is a private research and consultancy specialised in innovation processes and the management of large-scale European projects for both private and public clients. empirica has established itself as a leading European and global institute with a broad understanding of the political, strategic, clinical, business and socio-economic questions raised by health system change and eHealth tools, and has participated in many predictive modelling and patient empowerment EU projects, e.g.: VPH-Dare@IT, MD-Paedigree, VPH-Share, VPHOP, and PALANTE, CAREWELL, SMARTCARE, SmartPersonalHealth. EMP was a leading partner in the DISCIPULUS project, drafting the VPH research roadmap for the realisation of the Digital Patient initiative that will be used to provide an integrative framework for Personalised, Predictive, and Integrative Medicine. EMP was the administrative project manager in the epSOS project, managing 45 beneficiaries, with a budget of €36,5 Million. It has provided services to the European Parliament (EP), European Commission (EC), WHO, OECD, European Space Agency (ESA), national and regional governments, healthcare providers, and global eHealth industrial players. This is complemented by its global experience in applying advanced, but pragmatic cost-benefit assessment methods to health system related delivery processes and outcomes. empirica is thus in a position to develop and validate future-proof policies, sustained strategies, business cases, and exploitation scenarios for eHealth supported healthcare delivery. empirica was also board member of the Virtual Physiological Human Institute (VPH Institute) and is the co-founder of the European Institute for Innovation through Health Data i~HD.

Rainer Thiel Malte von Tottleben Karin Breuer Meropi Papagheorghe


Dublin Institute of Technology (Ireland)

Dublin Institute of Technology (DIT) is one of Ireland’s largest and most innovative university-level institutions. DIT participates as a full member of the European University Association (EUA) and the International Association of Universities (IAU). Dublin Institute of Technology is ranked in the top 3% of universities worldwide. There are 20,000 students registered in DIT, and over 2000 members of staff. The project will be hosted by the Applied Intelligence Research Centre (AIRC) at the DIT School of Computing. The DIT School of Computing is the largest of its kind in Ireland and offers undergraduate, postgraduate and PhD programmes which are characterised by strong industry engagement through internships, industry projects and industry accreditation. The AIRC has strong track record in data and predictive analytics and machine learning. Currently, the membership of the AIRC includes 10 full time members of staff, 4 post-doctoral researchers, and 36 PhD students. The AIRC has received significant funding in the last 5 years for research in these areas.

John Kelleher


Health Ehtics and Policy Lab – EBPI, Universität Zürich (Switzerland)

Established in 1855 as the Federal Polytechnical School, ETH Zurich has, from the outset, been a national centre for education with international appeal, attracting talent from all over the world. The long-standing tradition of ETH Zurich, combined with its ability constantly to adapt to new requirements, have brought great success to the university. Today, it ranks among the world’s leading universities of science and technology. (source:

The Health Ethics and Policy Lab focuses on ethical and policy challenges in precision medicine and digital health. The advances in genomics, omics and data intensive research, have brought medicine and healthcare to an inflection point. Such progress holds great promise for improving individual and population health, while also presenting unprecedented ethical and regulatory challenges in areas such as privacy, individual freedom and risk policy. In order to harness the full potential of those novel approaches in health care, robust ethical policies are needed to resolve novel and pressing issues. At the lab, we identify and tackle the key ethical, legal and societal implications (ELSI) of precision medicine and digital health. The complexity of these questions calls for an interdisciplinary approach to research in bioethics and health policy, which is why, our team has expertise in philosophy, social science, clinical medicine, public health, data science, health policy, law. (Source:

Alessandro Blasimme Effy Vayena


University of Tartu (Estonia)

The University of Tartu (UT) was founded in 1632 and is the oldest, largest and the only classical university in Estonia with 14,000 students and over 1,800 academic staff members. As Estonia’s national university, UT stresses the importance of international co-operation and partnerships with reputable research universities all over the world. To support and develop the professional competence of its students and academic staff, the university has entered into bilateral co-operation agreements with 69 partner institutions in 26 countries. UT is Estonia’s leading centre of research and training. Research at UT focuses on subjects as diverse as medicine and philosophy, genetics and computer science. The University of Tartu currently ranks among the top 2 percent of the world's best universities (350-400 in Times Higher Education World University Rankings 2016) and belongs to the top 1% of the world's most-cited universities and research institutions in the fields of Clinical Medicine, Chemistry, Environment/Ecology, Plant and Animal Science, Social Sciences (general), Molecular Biology and Genetics (ISI Web of Science). The Estonian Genome Centre (EGC) is a research institute of UT whose aim is to promote the development of human genetic research by collecting information on the health and genetics of the Estonian population. The activities of the EGC are focused on using the results of the latest genomic research to improve public health and developing personalised medicine in Estonia. Currently, new methods are being introduced which can help to predict and prevent disease, and treat patients based on their genomic and other health related data. In collaboration with the Institute of Computer Science, EGC is working towards more automated tools for extraction of health related data from registries and databases, as well as for the implementation of genetic information in the healthcare system. The research group in Bioinformatics, Algorithmics and Data Mining (BIIT) at UT, applies data analysis, machine learning and algorithmic techniques to a broad range of biological and health data and applications. The EGC is a centre identified for the Estonian and European Research (Infrastructure) Roadmap and a partner for the Centre of Excellence in Genomics. The EGC is participating in the European Strategy Forum on the Research Infrastructures project Biobanking and Biomolecular Resources Research Infrastructure (BBMRI). UT is also collaborating with the pan-European biological data infrastructure ELIXIR network whose mission is to facilitate global data re-use.

Jaak Vilo Lili Milani


Fundació Institut Guttmann (Spain)

Established in 1965, Fundació Institut Guttmann (non-profit organization) is a leading hospital in the medical treatment, surgery and full rehabilitation of patients with Spinal Cord Injury, Acquired Brain Damage or any other serious neurological disability. Its goal is to provide the most comprehensive, customized and specialized medical and rehabilitation care at the highest human, scientific and technical level. A team of nearly 400 practitioners and a record of 20.000 treated patients make GUT one of the most specialized hospitals of its kind. As a research Institute, affiliated to the Universitat Autònoma de Barcelona, its mission is the development of education, scientific and research aspects in the area of neuroscience in general, and neurorehabilitation and technologies applied to personal independence in particular. Collaboration between the hospital and the education institute allows for the optimization, generation and transfer of new expertise in this specialized scientific area. With three established research lines (Neurorehabilitation of Spinal Cord Injury, Neurorehabilitation of Acquired Brain Damage, and Pediatric Neurorehabilitation) and six transverse strategic programs on translational research (Bioengineering applied to the person's functional independence; Neurostimulation, Neuromodulation and non-invasive stimulation; ICT applied to neuropsychological rehabilitation and cognitive stimulation; Neurorehabilitation of digestive function; Regenerative medicine applied to SCI and ABD; and Analysis of results applied to knowledge generation). During the 2002-2016 period, GUT has worked in 223 research studies, produced a total of 266 scientific indexed articles (with an accumulated impact factor of 778'26), with 754 submissions to national and international specialized conferences.

Montserrat Bernabeu José Maria Tormos Sara Laxe Joan Sauri Alejandro Garcia Eloy Opisso Marta Rudilla Imma Estella  


Linköping University (Sweden)

Linköping University is one of Sweden’s larger academic institutions and among those that offer the largest number of professional degree programmes, in fields such as medicine, education, business, economics and engineering. Research is conducted within a variety of disciplines, with strong internationally recognised research environments. The Department of Biomedical Engineering, at Linköping University, was founded in 1973, and is Sweden’s oldest department in Biomedical Engineering. The department lies at the epicenter of Linköping’s medical, engineering, and biological research, and is the only department from the technical faculty that is physically situated in the University hospital area. This location ensures tight connections between healthcare and research, in areas including e.g. biomedical devices, medical informatics, and mathematical modelling for decision support systems. Recent EU projects of relevance to this project where LIU has participated include ASSESS CT, SemanticHealthNet, DebugIT, as well as SemanticMining, which also was coordinated from LIU. Of particular importance to this project LIUs participation in the DebugIT project included the delivery of semantically normalized health data from the Swedish ICU quality registry. The health informatics group, headed by Daniel Karlsson, also participates in national and international standardization projects, for example leading the development of models for health care observation SNOMED CT and other health care terminologies. The integrative systems biology group, headed by Gunnar Cedersund, lies at the epicenter of almost all biomedically relevant modelling done at Linköping university.

Gunnar Cedersund Mikael Nyström  Håkan Örman Elin Nyman
William Lövfors Tilda Herrgårdh


Medizinische Universität Graz (Austria)

General description The Medical University of Graz (MUG) , with 39 research institutes and clinical departments, 1700 employees, 4500 students from undergraduate to PhD is a large Medical School and Research Institution, which works in close co-operation with the Regional & University Hospital Graz, one of the largest in Europe. MUGs runs one of the largest biobanks in Europe and plays a leading role in the European Union’s biobanking infrastructure. Expertise: MUG’s Institute of Medical Informatics, Statistics and Documentation, counting currently 37 researchers, lecturers and technicians, covers most areas of biomedical informatics, from semantic technologies and AI over human-computer interfaces to imaging. MUG's working group on biomedical semantics and technologies (BST), led by professor Stefan Schulz, is an internationally recognized reference for clinical terminologies, ontologies and medical language processing, but has also contributed to the fields of electronic health records, document retrieval, and biomedical knowledge management. It has hosted important events like the (biomedical) ontology conferences FOIS and ICBO 2012.

Stefan Schulz Catalina Martinez Costa


DFKI German Research Center for Artificial Intelligence (Germany)

Founded in 1988, DFKI today is one of the largest nonprofit contract research institutes in the field of innovative software technology based on Artificial Intelligence (AI) methods. DFKI is focusing on the complete cycle of innovation - from world-class basic research and technology development through leading-edge demonstrators and prototypes to product functions and commercialization. Based in Kaiserslautern, Saarbrücken, Bremen, and Berlin, DFKI ranks among the important "Centers of Excellence" worldwide. An important element of DFKI's mission is to move innovations as quickly as possible from the lab into the marketplace. Only by maintaining research projects at the forefront of science DFKI has the strength to meet its technology transfer goals. The research centre is set up as a public-private partnership, i.e., it is jointly owned by some of the largest German industrial corporations, two universities, three federal states and the Fraunhofer Society. DFKI benefits from interaction with the Informatics Faculties of the Universities of Kaiserslautern, Saarbrücken, and Bremen and in turn provides opportunities for research and PhD thesis supervision to students from these universities, which have an outstanding reputation in Computer Science and in Computational Linguistics. The Language Technology (LT) Lab of DFKI focuses on advanced IT applications dealing with human language. It is one of the few centres at which deep linguistic processing methods are combined with new computing paradigms, machine learning techniques and insights from cognitive science. The Lab has vast experience in modeling areas in such a way that they are highly amenable to machine learning and classification tasks. Applications centered around recognizing different types of documents have been successfully fielded.

Günter Neumann


AOK Northeast - GeWINO (Germany)

Since more than 100 years AOK is the largest public health insurance in Germany covering currently about 25 Mill. Members in all Regions of the Federal Republic of Germany. AOK Northeast is the northeast branch of AOK covering about 2 Mill. Members in the German states of Berlin, Brandenburg and Mecklenburg-Vorpommern. GeWINO is the scientific and innovation unit within AOK Northeast founded in 2014 focusing on modern data analysis and technology in order to identify gaps in care and develop accepted innovative care models to improve and evaluate outcomes of care. In his short lifetime the AOK GeWINO institute has developed several models to predict cost and hospitalization for specific indications i.e. chronic wounds, depression and Chronic Kidney Disease. These models have been developed using big data analysis methods and applied to existing as well as new care models. In order to evaluate the effect three general principles: deviation from prediction, compare to correlation adjusted control and paired comparison to propensity matched control have been implemented and applied to more than 20 care contracts. The measured effects serve for benefit calculation of providers in existing and new shared benefit reimbursement models. Beside these analytic tasks GeWINO conducts own observatory studies approved by the legal authorities i.e. the First and Second Berlin Migrant study, the e-health - Acceptance study of digital training aids and the study of information needs in special life situations. Based on its vast research data base of secondary claims data GeWINO conducts and publishes annual analytic reports like the Northeast nursing report, the specialized outpatient care report and the child report. These reports aim to investigate the regional development and comparison of care between small urban regions within the capital of Berlin and between the rural regions in the large northeastern planes. They are accompanied by population based analytic data studies i.e. on the care for centenarians above 100, the care patterns of turkish migrants and the care for school kids. Finally GeWINO supports several initiatives to test the real world acceptance of innovative technologies in care i.e. AAL home technology for the elderly, telemedicine for stroke rehabilitation and tablet gaming during dementia. For collaboration with academic research and providers GeWINO has developed an analytic platform realizing data security by design and providing web access to approved research projects for academic an public partners (i.e. 8 Universities including Charite and 7 regional and state authorities).

Thomas Zahn


QMENTA (Spain)

QMENTA is a Spanish company comprised of experts in medical image analysis, scientific visualization and software on a mission to unlock the potential of neuroimaging with a scalable data technology platform. Mint Labs has developed an image processing technology that is able to reconstruct, from MRI images, 3D models of the brain that can be manipulated in real time. As a result, specialists and R&D organizations can have a better understanding of the patients’ disease state by providing a quantitative evaluation of changes in the brain circuits and of differences across populations, which can be critical for diagnosis and prior brain surgery. This technology is commercialized as Software as a Service (SaaS), where users can upload a set of medical images to QMENTA cloud platform, obtain the processed 3D results, and pay according to their usage. Expertise: The CloudN platform of QMENTA offers brain imaging quantification, visualization and data management on the cloud - from image to insight, all within the browser. The platform can generate high definition 3D models of brain scans, such as from data coming from an MRI. Via the cloud platform, researchers and doctors can upload medical images, have them processed and access big datasets uploaded to the platform. In addition, the platform can merge and integrate different sources of relevant data, and as such, allow the identification of patterns otherwise missed. QMENTA’s mission is to greatly improve our understanding of the brain and develop tools for the prediction, detection and diagnosis of neurological disorders. Since its foundation, the company has processed more than 280.000 MRI images.

Landon McKenna
Paulo Rodrigues
Vesna Prchkovska Matt Rowe Alara Alkin