The Machine Learning Group at UiT is a rapidly growing research group that, in particular, focuses on deep learning, kernel machines and change detection, in addition to deep learning for health.
UiT The Arctic University of Norway is a medium-sized research university that contributes to knowledge-based development at the regional, national and international level. UiT is the third largest in Norway and the northernmost university of the world.
The University Hospital of North Norway (UNN) is a part of Helse Nord. Their four primary tasks are treatment of patients, training of patients and next of kin, research, and education of health personnel. They have hospitals in Tromsø, Harstad, Narvik and Longyearbyen.

The Norwegian Centre for E-health Research was created 1st January 2016, with the objective of contributing to a common national ICT solution for health and care services. The new research and assessment centre will collect, produce and communicate knowledge required by the authorities to develop a knowledge-based policy on e-health.
Universidad Rey Juan Carlos ranks among the best universities in Madrid for excellence academic programs and international scientific quality. Our collaborators at the department of Signal Theory and Communications cooperate with four large Hospitals, namely, Hospital de Alcorcón, Hospital de Fuenlabrada, Hospital de Móstoles and Hospital del Sureste. In particular C. Soguero-Ruiz is active in research on machine learning for healthcare. She is an associate member in the UiT Machine Learning Group and a close long-term collaborator.
Norsk Regnesentral (Norwegian Computing Center, NR) is a private, independent, non-profit foundation established in 1952. NR carries out contract research and development projects in the areas of information and communication technology and applied statistical modeling.

The Technical University of Berlin is one of the largest universities of technology in Germany. The machine learning group at TU Berlin conducts research on statistical learning theory for neural networks, support vector machines and ensemble learning techniques.
The Center for Computational Health at IBM T.J. Watson Research Center consists of a multi-disciplinary team of researchers with expertise in machine learning, data mining, visual analytics, biomedical & medical informatics, statistics, behavioral and decision sciences, and medicine. We work on developing cutting-edge methodologies to derive insights from diverse sources of health data, to support use cases in personalized care delivery and management, real world evidence, health behavior modeling, cognitive health decision support, and translational informatics.
The Amsterdam Machine Learning Lab (AMLab) conducts research in the area of large scale modeling of complex data sources. This includes the development of new methods for probabilistic graphical models and nonparametric Bayesian models, the development of faster (approximate) inference and learning methods, deep learning, causal inference, reinforcement learning and multi-agent systems and the application of all of the above to large scale data domains in science and industry (“Big Data problems”).
With a global perspective and through partnerships with others, Stockholm University contributes to the development of knowledge. Education and research within human science and science in the international frontline, as well as interdisciplinary work, make this possible. Our collaborator, Hercules Dalianis and his group, at Stockholm University are experts on natural language processing for electronic health records.
Bristol is one of the most popular and successful universities in the UK. We collaborate with both the the Digital Health Engineering Group and the Intelligent Systems Group.
Exeter is the UK’s fastest growing and fastest rising research university. Our collaborator L. Livi is active in research on e.g. unsupervised learning in deep and recurrent neural networks,
information-theoretic learning, and supervised and unsupervised feature selection/extraction methods.
DIPS ASA is the leading supplier of eHealth systems to Norwegian hospitals. The company has contracts with three of Norway's four regional health trusts, including five of the six university hospitals in Norway. The DIPS solutions has more than 80,000 daily users and is thus one of Norway's most used computer systems. Their solutions enable health care personnel to significantly rationalize their work, improve the quality of patient care and increase patient safety.
Helse Nord IKT provides technological solutions and services to the hospitals in Nordland, Troms and Finnmark. They are responsible for central operation and management of common ICT systems for all hospitals in Helse Nord, which means that they serve 18,000 ICT users 24 hours a day, seven days a week.
Health plus.ai is a company with expertise on healthcare and artificial intelligence and provide people, professionals and organizations with artificial intelligence tools that help solve medical and health related challenges.
​​​​With its nineteen member institutions, The University of Maribor is turning into a central development institution attracting talented students from all over the world and providing a development context where excellence is at home at all levels. Gregor Stilic and his group do research on machine learning techniques with application to healthcare. Specific areas of interest include comprehensibility of predictive models, human interaction based classification, stability of feature selection algorithms, meta-learning and longitudinal rule discovery.
Hospital Universitario del Sureste has the vocation to use the opportunities that technological advancement makes available to healthcare, to develop clinical research and to promote the use of scientific evidence in clinical decision making for the benefit of the patient. Proof of this are the two national competitive projects developed jointly with Universidad Rey Juan Carlos.
Hospital Universitario de Fuenlabrada has a Research Unit that is currently managing the research initiatives as well as the relations with research institutions and companies. HUF develops research projects in Information and Communication Technologies (ICTs) that have a direct application in the innovation and improvement of healthcare
The University Hospital of Móstoles is a public hospital belonging to the healthcare network of the Madrid Health Service that provides specialized medical care services, as well as teaching activities and research.